//--------------------- includes and using ------------------------------------- #define TRIQS_PYTHON_WRAPPER_MODULE_${module.name} %for file in module.include_list : %if file.startswith('<'): #include ${file} %else: #include "${file}" %endif %endfor using dcomplex = std::complex; %for ns in module.using: using ${ns}; %endfor #include #include using namespace triqs::py_tools; ${module._preamble} //--------------------- a dict of python function used in the module but not exposed to user (cf init function) ---------------- %if len(module.python_functions) + len(module.hidden_python_functions) > 0 : static PyObject * _module_hidden_python_function = NULL; %endif // We use the order, in the following order (which is necessary for compilation : we need the converters in the implementations) // - function/method declaration // - implement type, and all tables // - implement the converter of types, then of associated regular_type if any. // - implement functions/method. // //---------------------------------------------------------------- //--------------------- function declarations ------------------- //---------------------------------------------------------------- //--------------------- all functions/methods with args, kwds, including constructors ----------------------------- %for py_meth, module_or_class_name, self_c_type in module._all_args_kw_functions() : static ${'PyObject*' if not py_meth.is_constructor else 'int'} ${module_or_class_name}_${py_meth.py_name}(PyObject *self, PyObject *args, PyObject *keywds); %endfor // ------------------------------- Loop on all classes ---------------------------------------------------- %for c in module.classes.values() : // ---------------------------- // start class : ${c.py_type} // ---------------------------- //--------------------- all pure python methods ----------------------------- %for f_name, (f,ty,doc) in c.pure_python_methods.items(): static PyObject* ${c.py_type}_${f_name} (PyObject *self, PyObject *args, PyObject *keywds); %endfor //--------------------- all members ----------------------------- %for m in c.members: static PyObject * ${c.py_type}__get_member_${m.py_name} (PyObject *self, void *closure); %if not m.read_only: static int ${c.py_type}__set_member_${m.py_name} (PyObject *self, PyObject *value, void *closure); %endif %endfor //--------------------- all properties ----------------------------- %for p in c.properties : static PyObject * ${c.py_type}__get_prop_${p.name} (PyObject *self, void *closure); %if p.setter : static int ${c.py_type}__set_prop_${p.name} (PyObject *self, PyObject *value, void *closure); %endif %endfor //--------------------- [] ----------------------------- %if "__len__impl" in c.methods : static Py_ssize_t ${c.py_type}___len__(PyObject *self); %endif %if "__getitem__impl" in c.methods : static PyObject* ${c.py_type}___getitem__(PyObject *self, PyObject *key); %endif %if "__setitem__impl" in c.methods : static int ${c.py_type}___setitem__(PyObject *self, PyObject *key, PyObject *v); %endif //--------------------- reduce ----------------------------- %if c.serializable == "via_string" : static PyObject* ${c.py_type}___reduce__ (PyObject *self, PyObject *args, PyObject *keywds); %endif //--------------------- reduce version 2 ----------------------------- %if c.serializable == "tuple" : static PyObject* ${c.py_type}___reduce__ (PyObject *self, PyObject *args, PyObject *keywds); static PyObject* ${c.py_type}___reduce_reconstructor__ (PyObject *self, PyObject *args, PyObject *keywds); %endif //--------------------- hdf5 : write part ----------------------------- static PyObject* ${c.py_type}___write_hdf5__ (PyObject *self, PyObject *args); //--------------------- repr ----------------------------- %if c.is_printable : static PyObject* ${c.py_type}___repr__ (PyObject *self); static PyObject* ${c.py_type}___str__ (PyObject *self); %endif //--------------------- Arithmetic declaration only ----------------------------- % for op_name, op in c.number_protocol.items(): %if op.arity == 2: static PyObject * ${c.py_type}_${op_name} (PyObject* v, PyObject *w); %elif op.arity ==1: static PyObject * ${c.py_type}_${op_name} (PyObject *v); %endif %endfor // ---------------------------- // stop class : ${c.py_type} // ---------------------------- %endfor // cc classes //---------------------------------------------------------------- //--------------------- implementation -------------------------- //---------------------------------------------------------------- // ------------------------------- Loop on all classes ---------------------------------------------------- %for c in module.classes.values() : // ---------------------------- // start class : ${c.py_type} // ---------------------------- //--------------------- define all the types and the converter functions ----------------------------- // the python type typedef struct { PyObject_HEAD ${c.c_type} * _c; } ${c.py_type}; // the new static PyObject* ${c.py_type}_new(PyTypeObject *type, PyObject *args, PyObject *kwds) { ${c.py_type} *self; self = (${c.py_type} *)type->tp_alloc(type, 0); if (self != NULL) { try { self->_c = NULL; ##//%if not c.c_type_is_view : ##// self->_c = new ${c.c_type}{}; ##//%else : ##// self->_c = new ${c.c_type}{typename ${c.c_type}::regular_type{}}; // no default constructor for views ##//%endif } catch (std::exception const & e) { std::cout << e.what()<_c != NULL) delete self->_c; // should never be null, but I protect it anyway self->ob_type->tp_free((PyObject*)self); } //--------------------- Iterator by wrapping the C++ ----------------------------- %if c.iterator : // I used the doc and http://stackoverflow.com/questions/1815812/how-to-create-a-generator-iterator-with-the-python-c-api // to write this // the iterator type typedef struct { PyObject_HEAD PyObject * container; ${c.c_type}::${c.iterator.c_type} iter, end; } ${c.py_type}__iterator; // dealloc static void ${c.py_type}__iterator_dealloc(${c.py_type}__iterator * self) { Py_XDECREF(self->container); self->ob_type->tp_free((PyObject*)self); } // the __iter__ of the iterator type : returns itself PyObject* ${c.py_type}__iterator__iter__(PyObject *self) { Py_INCREF(self); return self; } // the next() method of the iterator PyObject* ${c.py_type}__iterator__iternext__(PyObject *self); static PyTypeObject ${c.py_type}__iteratorType = { PyObject_HEAD_INIT(NULL) 0, /*ob_size*/ "${module.name}.${c.py_type}__iterator", /*tp_name*/ sizeof(${c.py_type}__iterator), /*tp_basicsize*/ 0, /*tp_itemsize*/ (destructor)${c.py_type}__iterator_dealloc, /*tp_dealloc*/ 0, /*tp_print*/ 0, /*tp_getattr*/ 0, /*tp_setattr*/ 0, /*tp_compare*/ 0, /*tp_repr*/ 0, /*tp_as_number*/ 0, /*tp_as_sequence*/ 0, /*tp_as_mapping*/ 0, /*tp_hash */ 0, /*tp_call*/ 0, /*tp_str*/ 0, /*tp_getattro*/ 0, /*tp_setattro*/ 0, /*tp_as_buffer*/ Py_TPFLAGS_DEFAULT | Py_TPFLAGS_HAVE_ITER, /* tp_flags: Py_TPFLAGS_HAVE_ITER tells python to use tp_iter and tp_iternext fields. */ "Internal ${c.py_type} iterator object.", /* tp_doc */ 0, /* tp_traverse */ 0, /* tp_clear */ 0, /* tp_richcompare */ 0, /* tp_weaklistoffset */ ${c.py_type}__iterator__iter__, /* tp_iter: __iter__() method */ ${c.py_type}__iterator__iternext__ /* tp_iternext: next() method */ }; // the __iter__ of the main type: return a new iterator. Need to allocate and init it by hand (no init method). PyObject* ${c.py_type}___iter__(PyObject *self); %endif //--------------------- Register as_number ----------------------------- %if c.number_protocol : static PyNumberMethods ${c.py_type}_as_number = { %for op_name in ["add", "subtract", "multiply", "divide", "remainder", "divmod", "power", "negative", "positive", "absolute", "nonzero", "invert", "lshift", "rshift", "and", "xor", "or", "coerce", "int", "long", "float", "oct", "hex", "inplace_add", "inplace_subtract", "inplace_multiply", "inplace_divide", "inplace_remainder", "inplace_power", "inplace_lshift", "inplace_rshift", "inplace_and", "inplace_xor", "inplace_or", "floor_divide ", "true_divide ", "inplace_floor_divide ", "inplace_true_divide ", "index "] : % if op_name in c.number_protocol and c.number_protocol[op_name].arity==2 : (binaryfunc)${c.py_type}_${op_name}, /*nb_${op_name}*/ %elif op_name in c.number_protocol and c.number_protocol[op_name].arity==1 : (unaryfunc)${c.py_type}_${op_name}, /*nb_${op_name}*/ %else : 0, /*nb_${op_name}*/ %endif %endfor }; %endif //--------------------- Register as_mapping ----------------------------- %if c.has_mapping_protocol : static PyMappingMethods ${c.py_type}_mapping { %if "__len__impl" in c.methods : (lenfunc)${c.py_type}___len__, /* mp_length */ %else: NULL, /* mp_length */ %endif %if "__getitem__impl" in c.methods : (binaryfunc)${c.py_type}___getitem__, /* mp_subscript*/ %else: NULL, /* mp_subscript*/ %endif %if "__setitem__impl" in c.methods : (objobjargproc)${c.py_type}___setitem__ /* mp_ass_subscript*/ %else: NULL /* mp_ass_subscript*/ %endif }; %endif //--------------------- Register members and properties ----------------------------- static PyGetSetDef ${c.py_type}_getseters[] = { %for mb in [m for m in c.members if not m.read_only] : {"${mb.py_name}", (getter)${c.py_type}__get_member_${mb.py_name}, ${c.py_type}__set_member_${mb.py_name}, "${mb.doc}", NULL}, %endfor %for mb in [m for m in c.members if m.read_only] : {"${mb.py_name}", (getter)${c.py_type}__get_member_${mb.py_name}, NULL, "${mb.doc}", NULL}, %endfor %for p in [p for p in c.properties if p.setter ] : {"${p.name}", (getter)${c.py_type}__get_prop_${p.name}, ${c.py_type}__set_prop_${p.name}, "${p.doc}", NULL}, %endfor %for p in [p for p in c.properties if not p.setter ] : {"${p.name}", (getter)${c.py_type}__get_prop_${p.name}, NULL, "${p.doc}", NULL}, %endfor {NULL} /* Sentinel */ }; //--------------------- Register the methods for the types ----------------------------- static PyMethodDef ${c.py_type}_methods[] = { %for meth_name, meth in c.methods.items(): %if not meth_name.startswith('__') : {"${meth_name}", (PyCFunction)${c.py_type}_${meth_name}, METH_VARARGS| METH_KEYWORDS ${"|METH_STATIC" if meth.is_static else ""}, "${c.methods[meth_name]._generate_doc()}" }, %endif %endfor %if c.serializable : {"__reduce__", (PyCFunction)${c.py_type}___reduce__, METH_VARARGS, "Internal " }, %endif ##%if c.serializable == "tuple" : ## {"__reduce_reconstructor__", (PyCFunction)${c.py_type}___reduce_reconstructor__, METH_VARARGS|METH_STATIC, "Internal " }, ##%endif ##%if c.hdf5: {"__write_hdf5__", (PyCFunction)${c.py_type}___write_hdf5__, METH_VARARGS, "Internal : hdf5 writing via C++ " }, ##%endif %for meth_name, (meth,ty,doc) in c.pure_python_methods.items(): {"${meth_name}", (PyCFunction)${c.py_type}_${meth_name}, METH_VARARGS| METH_KEYWORDS, "${doc}" }, %endfor {NULL} /* Sentinel */ }; //--------------------- The xxxType table ----------------------------- static PyTypeObject ${c.py_type}Type = { PyObject_HEAD_INIT(NULL) 0, /*ob_size*/ "${module.full_name}.${c.py_type}", /*tp_name*/ sizeof(${c.py_type}), /*tp_basicsize*/ 0, /*tp_itemsize*/ (destructor)${c.py_type}_dealloc, /*tp_dealloc*/ 0, /*tp_print*/ 0, /*tp_getattr*/ 0, /*tp_setattr*/ 0, /*tp_compare*/ ${"&%s___repr__"%c.py_type if c.is_printable else 0}, /*tp_repr*/ ${"&%s_as_number"%c.py_type if c.number_protocol else 0}, /*tp_as_number*/ 0, /*tp_as_sequence*/ ${"&%s_mapping"%c.py_type if c.has_mapping_protocol else 0}, /*tp_as_mapping*/ 0, /*tp_hash */ ${c.py_type+"___call__" if "__call__" in c.methods else 0}, /*tp_call*/ ${"&%s___str__"%c.py_type if c.is_printable else 0}, /*tp_str*/ 0, /*tp_getattro*/ 0, /*tp_setattro*/ 0, /*tp_as_buffer*/ Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE |Py_TPFLAGS_CHECKTYPES, /*tp_flags*/ "${c.doc}", /* tp_doc */ 0, /* tp_traverse */ 0, /* tp_clear */ 0, /* tp_richcompare */ 0, /* tp_weaklistoffset */ ${c.py_type+"___iter__" if c.iterator else 0}, /* tp_iter */ 0, /* tp_iternext */ ${c.py_type}_methods, /* tp_methods */ 0, /* tp_members */ ${c.py_type}_getseters, /* tp_getset */ 0, /* tp_base */ 0, /* tp_dict */ 0, /* tp_descr_get */ 0, /* tp_descr_set */ 0, /* tp_dictoffset */ ${"(initproc)%s___init__"%c.py_type if c.constructor else 0}, /* tp_init */ 0, /* tp_alloc */ ${c.py_type}_new, /* tp_new */ }; //--------------------- converters for the class c ----------------------------- namespace triqs { namespace py_tools { template <> struct py_converter<${c.c_type}> { template static PyObject * c2py(U&& x){ ${c.py_type} *self; self = (${c.py_type} *)${c.py_type}Type.tp_alloc(&${c.py_type}Type, 0); if (self != NULL) { self->_c = new ${c.c_type}{std::forward(x)}; } return (PyObject *)self; } static ${c.c_type} & py2c(PyObject * ob){ auto *_c = ((${c.py_type} *)ob)->_c; if (_c == NULL) TRIQS_RUNTIME_ERROR << "Severe internal error : _c is null in py2c for type ${c.c_type} !"; return *_c; } static bool is_convertible(PyObject *ob, bool raise_exception){ if (PyObject_TypeCheck(ob, & ${c.py_type}Type)) { if (((${c.py_type} *)ob)->_c != NULL) return true; if (raise_exception) PyErr_SetString(PyExc_TypeError, "Severe internal error : Python object of ${c.py_type} has a _c NULL pointer !!"); return false; } if (raise_exception) PyErr_SetString(PyExc_TypeError, "Python object is not a ${c.py_type}"); return false; } }; // TO BE MOVED IN GENERAL HPP %if c.implement_regular_type_converter : // ${c.py_type} is wrapping a view, we are also implementing the converter of the associated regular type template<> struct py_converter<${c.regular_type}> { using regular_type = ${c.regular_type}; using conv = py_converter<${c.c_type}>; static PyObject *c2py(regular_type &g) { return conv::c2py(g); } static PyObject *c2py(regular_type &&g) { return conv::c2py(g); } static bool is_convertible(PyObject * ob, bool raise_exception) { return conv::is_convertible(ob, raise_exception); } static regular_type py2c(PyObject *ob) { return conv::py2c(ob); } }; %endif }} // namespace py_tools // ---------------------------- // stop class : ${c.py_type} // ---------------------------- %endfor ## loop on classes //--------------------- Converters of enums -------------------------- %for en in module.enums : namespace triqs { namespace py_tools { template <> struct py_converter<${en.c_name}> { static PyObject * c2py(${en.c_name} x) { %for n,val in enumerate(en.values[:-1]) : if (x == ${val}) return PyString_FromString("${val}"); %endfor return PyString_FromString("${en.values[-1]}"); // last case separate to avoid no return warning of compiler } static ${en.c_name} py2c(PyObject * ob){ std::string s=PyString_AsString(ob); %for n,val in enumerate(en.values[:-1]) : if (s == "${val}") return ${val}; %endfor return ${en.values[-1]}; } static bool is_convertible(PyObject *ob, bool raise_exception) { if (!PyString_Check(ob)) { if (raise_exception) PyErr_SetString(PyExc_ValueError, "Convertion of C++ enum ${en.c_name} : the object is not a string"); return false; } std::string s=PyString_AsString(ob); %for n,val in enumerate(en.values) : if (s == "${val}") return true; %endfor if (raise_exception) { auto err = "Convertion of C++ enum ${en.c_name} : \nThe string \"" + s +"\" is not in [${','.join([str(x) for x in en.values])}]"; PyErr_SetString(PyExc_ValueError, err.c_str()); } return false; } }; }} %endfor //--------------------- Parser auxiliary functions for PyArg_ParseTupleAndKeywords -------------------------- // adapter needed for parsing with PyArg_ParseTupleAndKeywords later in the functions // We need several slighly different version for // - wrapped types : we handle them by pointer // - non wrapped_type : by value // - view : needs to be rebinded, not assigned. // Selection of the converter for each type is done later, Cf _get_proper_converter. // take the object a pointer to the place into which convert the object. // return 1 (success), 0 (failure). If fails, also set the python exception which will be analyzed later. template static int converter_for_parser_non_wrapped_type(PyObject * ob, T * p) { if (!convertible_from_python(ob,true)) return 0; *p = convert_from_python(ob); return 1; } template static int converter_for_parser_wrapped_type(PyObject * ob, T ** p) { if (!convertible_from_python(ob,true)) return 0; *p = &(convert_from_python(ob)); // wrapped types are manipulated by pointers. return 1; } template static int converter_for_parser_view_type(PyObject * ob, T * p) { if (!convertible_from_python(ob,true)) return 0; p->rebind(convert_from_python(ob)); return 1; } //--------------------- define all functions/methods with args, kwds, including constructors ----------------------------- %for py_meth, module_or_class_name, self_c_type in module._all_args_kw_functions() : static ${'PyObject*' if not py_meth.is_constructor else 'int'} ${module_or_class_name}_${py_meth.py_name}(PyObject *self, PyObject *args, PyObject *keywds) { <% n_overload = len(py_meth.overloads) has_overloads = (n_overload>1) %> %if not py_meth.is_constructor : PyObject * py_result; //final result %endif %if has_overloads : PyObject * errors[${n_overload}] = {${",".join(n_overload*['NULL'])}}; //errors of the parsing attempts... %endif %if py_meth.python_precall : pyref res_py; // the intermediate result of the pretreatment %if isinstance(py_meth.python_precall,python_function) : /// A precall function where the code is given static const char * _precall_code = ${py_meth.python_precall.code}; static pyref _precall_py_fnt, _precall_py_dict; // keep the function, contained in a specific local dict if (_precall_py_fnt.is_null()) { // first init PyObject* main_module = PyImport_AddModule("__main__"); //borrowed PyObject* global_dict = PyModule_GetDict(main_module); //borrowed _precall_py_dict = PyDict_New(); // new ref if (!PyRun_String(_precall_code, Py_file_input, global_dict, _precall_py_dict)) goto error_return; _precall_py_fnt = borrowed(PyDict_GetItemString(_precall_py_dict,"${py_meth.python_precall.name}")); } %else: // get the module where the function is static pyref module = pyref::module("${py_meth.python_precall.rsplit('.',1)[0]}"); if (module.is_null()) goto error_return; // get the function (only once) static pyref _precall_py_fnt = module.attr("${py_meth.python_precall.rsplit('.',1)[1]}"); // call the function : return must be a tuple args, kw to replace the current args, kw %endif res_py = PyObject_Call(_precall_py_fnt, args, keywds); if (PyErr_Occurred()) goto error_return; if (!PyTuple_Check(res_py) || (PyTuple_Size(res_py)!=2)) { PyErr_SetString(PyExc_RuntimeError,"${py_meth.python_precall} must return a tuple (args,kw) "); goto error_return; } args = PyTuple_GetItem(res_py,0); keywds = PyTuple_GetItem(res_py,1); // Borrowed ref, Cf res_py comment above. if (!PyTuple_Check(args)) { PyErr_SetString(PyExc_RuntimeError,"${py_meth.python_precall}: return error : first element must be a tuple of arguments"); goto error_return; } if (!PyDict_Check(keywds)) { PyErr_SetString(PyExc_RuntimeError,"${py_meth.python_precall}: return error : second element must be a dict"); goto error_return; } %endif // If no overload, we avoid the err_list and let the error go through (to save some code). %for n_overload, overload in enumerate(py_meth.overloads) : {// overload ${overload._get_c_signature()} // define the variable to be filled by the parsing method // wrapped types are converted to a pointer, other converted types to a value or a view %for t,n,d in overload.args : %if t in module._wrapped_types : ${t}* ${n} = NULL; // ${t} is a wrapped type %elif is_type_a_view(t): ${t} ${n} = typename ${t}::regular_type{}; // ${t} is a view, but not wrapped %else: ${t} ${n} ${'=%s'%d if d else ''}; // ${t} is a regular type %endif %endfor static char *kwlist[] = {${",".join([ '"%s"'%n for t,n,d in overload.args] + ["NULL"])}}; static const char * format = "${overload._parsing_format()}"; if (PyArg_ParseTupleAndKeywords(args, keywds, format, kwlist ${"".join([ module._get_proper_converter(t) + ' ,&%s'%n for t,n,d in overload.args])})) { %if overload.is_method and not overload.is_constructor and not overload.no_self_c and not overload.is_static : auto & self_c = convert_from_python<${self_c_type}>(self); %endif %if overload.is_static : using self_class = ${self_c_type}; %endif try { %if overload.release_GIL_and_enable_signal : PyOS_sighandler_t sig = PyOS_getsig(SIGINT); triqs::signal_handler::start(); // start the C++ signal handler Py_BEGIN_ALLOW_THREADS; try { %endif ${overload._get_calling_pattern()}; // the call is here. It sets up "result" : sets up in the python layer. %if overload.release_GIL_and_enable_signal : } catch(...) { // an error has occurred : clean GIL, handler and rethrow Py_BLOCK_THREADS; // cf python include, ceval.h, line 72 comments and below. triqs::signal_handler::stop(); // stop the C++ signal handler PyOS_setsig(SIGINT, sig); throw; // } Py_END_ALLOW_THREADS; triqs::signal_handler::stop(); PyOS_setsig(SIGINT, sig); %endif %if not overload.is_constructor : %if overload.rtype != "void" : py_result = convert_to_python(std::move(result)); %else: Py_INCREF(Py_None); py_result = Py_None; %endif %endif goto post_treatment; // eject, computation is done } %if not py_meth.is_constructor: CATCH_AND_RETURN("calling C++ overload \n ${overload._get_c_signature()} \nin implementation of ${'method' if py_meth.is_method else 'function'} ${module_or_class_name}.${py_meth.py_name}", NULL); %else: CATCH_AND_RETURN ("in calling C++ overload of constructor :\n${overload._get_c_signature()}",-1); %endif } %if has_overloads : else { // the overload does not parse the arguments. Keep the error set by python, for later use, and clear it. PyObject * ptype, *ptraceback; // unused. PyErr_Fetch(&ptype, &errors[${n_overload}], &ptraceback); Py_XDECREF(ptype); Py_XDECREF(ptraceback); } %endif } // end overload ${overload._get_c_signature()} %endfor # overload %if has_overloads : // finally, no overload was successful. Composing a detailed error message, with the reason of failure of all overload ! { std::string err_list = "Error: no suitable C++ overload found in implementation of ${'method' if py_meth.is_method else 'function'} ${module_or_class_name}.${py_meth.py_name}\n"; %for n_overload, overload in enumerate(py_meth.overloads) : err_list += "\n ${overload._get_c_signature()} \n failed with the error : \n "; if (errors[${n_overload}])err_list += PyString_AsString(errors[${n_overload}]); err_list +="\n"; Py_XDECREF(errors[${n_overload}]); %endfor PyErr_SetString(PyExc_TypeError,err_list.c_str()); } %endif goto error_return; post_treatment: %if py_meth.python_postcall : if (py_result) { // should always be true %if isinstance(py_meth.python_postcall,python_function) : /// A postcall function where the code is given static const char * _postcall_code = ${py_meth.python_postcall.code}; static pyref _postcall_py_fnt, _postcall_py_dict; // keep the function, contained in a specific local dict if (_postcall_py_fnt.is_null()) { // first init PyObject* main_module = PyImport_AddModule("__main__"); //borrowed PyObject* global_dict = PyModule_GetDict(main_module); //borrowed _postcall_py_dict = PyDict_New(); // new ref if (!PyRun_String(_postcall_code, Py_file_input, global_dict, _postcall_py_dict)) goto error_return; _postcall_py_fnt = borrowed(PyDict_GetItemString(_postcall_py_dict,"${py_meth.python_postcall.name}")); } %else: static pyref module2 = pyref::module("${py_meth.python_postcall.rsplit('.',1)[0]}"); static pyref _postcall_py_fnt = module2.attr("${py_meth.python_postcall.rsplit('.',1)[1]}"); %endif PyObject * res_final = PyObject_CallFunctionObjArgs(_postcall_py_fnt, py_result, NULL); Py_XDECREF(py_result); py_result = res_final; // stealing the ref } %endif return ${'py_result' if not py_meth.is_constructor else '0'}; error_return : return ${'NULL' if not py_meth.is_constructor else '-1'}; } %endfor // ------------------------------- Loop on all classes ---------------------------------------------------- %for c in module.classes.values() : //--------------------- define all pure python methods ----------------------------- // The methods called from an external module %for f_name, (f,ty,doc) in c.pure_python_methods.items(): %if ty=='module': static PyObject* ${c.py_type}_${f_name} (PyObject *self, PyObject *args, PyObject *keywds) { static pyref module = pyref::module("${f.module}"); if (module.is_null()) { PyErr_SetString(PyExc_ImportError,"Can not import module ${f.module}"); return NULL; } static pyref py_fnt = module.attr("${f.py_name}"); if (py_fnt.is_null()) { PyErr_SetString(PyExc_ImportError,"Can not import function ${f.py_name} in module ${f.module}"); return NULL; } pyref args2 = PySequence_Concat(PyTuple_Pack(1,self),args); PyObject * ret = PyObject_Call(py_fnt, args2,keywds); return ret; } %else : // The methods with inline code in the module static PyObject* ${c.py_type}_${f_name} (PyObject *self, PyObject *args, PyObject *keywds) { pyref args2 = PySequence_Concat(PyTuple_Pack(1,self),args); PyObject * ret = PyObject_Call(PyDict_GetItemString(PyModule_GetDict(_module_hidden_python_function),"${f}"), args2, keywds); return ret; } %endif %endfor //--------------------- define all members ----------------------------- %for m in c.members: static PyObject * ${c.py_type}__get_member_${m.py_name} (PyObject *self, void *closure) { auto & self_c = convert_from_python<${c.c_type}>(self); return convert_to_python(self_c.${m.c_name}); } %if not m.read_only: static int ${c.py_type}__set_member_${m.py_name} (PyObject *self, PyObject *value, void *closure) { if (value == NULL) { PyErr_SetString(PyExc_TypeError, "Cannot delete the attribute ${m.py_name}"); return -1; } if (!convertible_from_python<${m.c_type}>(value, true)) return -1;// exception is set by the converter auto & self_c = convert_from_python<${c.c_type}>(self); try { self_c.${m.c_name} = convert_from_python<${m.c_type}>(value); } CATCH_AND_RETURN("in setting the attribute '${m.py_name}'",-1); return 0; } %endif %endfor ## c.members //--------------------- define all properties ----------------------------- %for p in c.properties : static PyObject * ${c.py_type}__get_prop_${p.name} (PyObject *self, void *closure) { %if isinstance(p.getter, str): // pure python call static pyref py_fnt = pyref::module("${p.getter.rsplit('.',1)[0]}").attr("${p.getter.rsplit('.',1)[1]}"); return py_fnt(self).new_ref(); %else: auto & self_c = convert_from_python<${c.c_type}>(self); ${p.getter._get_calling_pattern()}; // defines result, which can not be void (property would return None ??) return convert_to_python(result); %endif } %if p.setter : static int ${c.py_type}__set_prop_${p.name} (PyObject *self, PyObject *value, void *closure) { if (value == NULL) { PyErr_SetString(PyExc_AttributeError, "Cannot delete the attribute ${p.name}"); return -1; } if (!convertible_from_python<${p.setter.args[0][0]}>(value, true)) return -1; auto & self_c = convert_from_python<${c.c_type}>(self); try { self_c.${p.setter.c_name} (convert_from_python<${p.setter.args[0][0]}>(value)); } CATCH_AND_RETURN("in setting the property '${p.name}'",-1); return 0; } %endif %endfor ## c.properties //--------------------- [] implementation ----------------------------- %if "__len__impl" in c.methods : static Py_ssize_t ${c.py_type}___len__(PyObject *self) { auto & self_c = convert_from_python<${c.c_type}>(self); try { ${c.methods['__len__impl'].overloads[0]._get_calling_pattern()}; return result; } CATCH_AND_RETURN("in calling C++ function for __len__ :\n${overload._get_c_signature()}", -1); } %endif // The __getitem__impl has been implemented with other methods. We redirect the call to the general for (args, kw) // after rebuilding args. %if "__getitem__impl" in c.methods : static PyObject* ${c.py_type}___getitem__(PyObject *self, PyObject *key) { pyref args = (PyTuple_Check(key) ? borrowed(key) : pyref(PyTuple_Pack(1,key))); return ${c.py_type}___getitem__impl(self,args,NULL); } %endif %if "__setitem__impl" in c.methods : static int ${c.py_type}___setitem__(PyObject *self, PyObject *key, PyObject *v) { pyref args = (PyTuple_Check(key) ? borrowed(key) : pyref(PyTuple_Pack(1,key))); pyref args2 = PySequence_Concat(args, PyTuple_Pack(1,v)); pyref res = ${c.py_type}___setitem__impl(self,args2,NULL); return (res.is_null() ? -1 : 0); // the function will return None, we want to change to an int } %endif //--------------------- reduce ----------------------------- %if c.serializable == "via_string" : // we make the unserialize function using the convertion of a C++ lambda ! static PyObject* ${c.py_type}___reduce__ (PyObject *self, PyObject *args, PyObject *keywds) { static PyObject* pyfoo = NULL; // never need to decref it, it is static if (!pyfoo) { auto lambda = [](std::string const &s) -> PyObject *{ try { %if not c.c_type_is_view : return convert_to_python( triqs::deserialize<${c.c_type}>(s)); %else: return convert_to_python( ${c.c_type} ( triqs::deserialize(s))); %endif } CATCH_AND_RETURN("in boost unserialization of object ${c.py_type}",NULL); }; pyfoo = convert_to_python(std::function{lambda}); // new ref } auto & self_c = convert_from_python<${c.c_type}>(self); return Py_BuildValue("(Os)",pyfoo, triqs::serialize(self_c).c_str()); // pyfoo ref ++ by Py_BuildValue } %endif //--------------------- reduce version 2 ----------------------------- %if c.serializable == "tuple" : // we make the unserialize function using the convertion of a C++ lambda ! static PyObject* ${c.py_type}___reduce__ (PyObject *self, PyObject *args, PyObject *keywds) { auto & self_c = convert_from_python<${c.c_type}>(self); pyref r = pyref::module("${module.full_name}").attr("__reduce_reconstructor__${c.py_type}"); if (r.is_null()) { PyErr_SetString(PyExc_ImportError, "Can not find the reconstruction function ${module.full_name}.__reduce_reconstructor__${c.py_type}"); return NULL; } return Py_BuildValue("(NN)", r.new_ref() , reductor{}.apply_to(self_c)); // pyfoo ref ++ by Py_BuildValue //return Py_BuildValue("(NN)", borrowed(self).attr("__class__").attr("__module__").attr("__reduce_reconstructor__").new_ref(), reductor{}.apply_to(self_c)); // pyfoo ref ++ by Py_BuildValue } // static PyObject* ${c.py_type}___reduce_reconstructor__ (PyObject *self, PyObject *args, PyObject *keywds) { try { %if not c.c_type_is_view : ${c.c_type} result; %else: typename ${c.c_type}::regular_type result; %endif auto r = reconstructor{args}; result.serialize(r,0);// make sure reconstructor is a friend as boost::serialization::access return convert_to_python(std::move(result)); } CATCH_AND_RETURN("in boost unserialization of object ${c.py_type}",NULL); } %endif //--------------------- repr ----------------------------- %if c.is_printable : static PyObject* ${c.py_type}___repr__ (PyObject *self) { auto & self_c = convert_from_python<${c.c_type}>(self); std::stringstream fs; fs << self_c; return PyString_FromString(fs.str().c_str()); } static PyObject* ${c.py_type}___str__ (PyObject *self) { auto & self_c = convert_from_python<${c.c_type}>(self); std::stringstream fs; fs << self_c; return PyString_FromString(fs.str().c_str()); } %endif //--------------------- hdf5 : write part ----------------------------- %if not c.hdf5 : /// hdf5 is not defined for this object, we still but a function + exception for a clear and early error message. static PyObject* ${c.py_type}___write_hdf5__ (PyObject *self, PyObject *args) { PyErr_SetString(PyExc_NotImplementedError, "No hdf5 support for the object ${c.py_type}"); return NULL; } %else: static PyObject* ${c.py_type}___write_hdf5__ (PyObject *self, PyObject *args) { triqs::h5::group gr; const char * key; if (!PyArg_ParseTuple(args, "O&s", converter_for_parser_non_wrapped_type, &gr, &key)) return NULL; auto & self_c = convert_from_python<${c.c_type}>(self); try { h5_write(gr, key, self_c); } CATCH_AND_RETURN("in h5 writing of object ${c.py_type}",NULL); Py_RETURN_NONE; } // Make the reader function for the type and register it in the hdf archive module // This function is called once in the module init function static void register_h5_reader_for_${c.py_type} () { auto reader = [] (PyObject * h5_gr, std::string const & name) -> PyObject *{ auto gr = convert_from_python(h5_gr); // declare the target C++ object, with special case if it is a view... %if not c.c_type_is_view : ${c.c_type} ret; %else: typename ${c.c_type}::regular_type ret; %endif try { // now read h5_read (gr, name, ret); } CATCH_AND_RETURN("in h5 reading of object ${c.py_type}", NULL); return convert_to_python(${c.c_type}(std::move(ret))); // cover the view and value case }; // end reader lambda pyref h5_reader = convert_to_python(std::function (reader)); pyref module = pyref::module("pytriqs.archive.hdf_archive_schemes"); auto register_class = module.attr("register_class"); pyref res = PyObject_CallFunctionObjArgs(register_class, (PyObject*)(&${c.py_type}Type), Py_None, (PyObject*)h5_reader, NULL); //pyref res = PyObject_CallFunction(register_class, "OOO", (PyObject*)(&${c.py_type}Type), Py_None, (PyObject*)h5_reader); } %endif //--------------------- Arithmetic implementation ----------------------------- // IMPROVE ERROR TREATEMENT LIKE OTHER ORDINARY METHODS % for op_name, op in c.number_protocol.items(): %if op.arity == 2: static PyObject * ${c.py_type}_${op_name} (PyObject* v, PyObject *w){ %if op.python_precall : // get the function to call static pyref py_fnt = pyref::module("${op.python_precall.rsplit('.',1)[0]}").attr("${op.python_precall.rsplit('.',1)[1]}"); // call the function : return must be a tuple args, kw to replace the current args, kw pyref res = py_fnt(v,w); if (!res.is_None()) return res.new_ref(); // new ref or NULL // otherwise the precall has failed to make the operation, proceed with the overloads %endif %for overload in op.overloads : if (convertible_from_python<${overload.args[0][0]}>(v,false) && convertible_from_python<${overload.args[1][0]}>(w,false)) { try { ${regular_type_if_view_else_type(overload.rtype)} r = convert_from_python<${overload.args[0][0]}>(v) ${overload._get_calling_pattern()} convert_from_python<${overload.args[1][0]}>(w); return convert_to_python(std::move(r)); // in two steps to force type for expression templates in C++ } CATCH_AND_RETURN("in calling C++ overload \n ${overload._get_c_signature()} \nin implementation of operator ${overload._get_calling_pattern()} ", NULL) } %endfor PyErr_SetString(PyExc_RuntimeError,"Error: no C++ overload found in implementation of operator ${overload._get_calling_pattern()} "); return NULL; } %elif op.arity == 1: static PyObject * ${c.py_type}_${op_name} (PyObject *v){ %for overload in op.overloads : if (py_converter<${overload.args[0][0]}>::is_convertible(v,false)) { try { ${regular_type_if_view_else_type(overload.rtype)} r = ${overload._get_calling_pattern()}(convert_from_python<${overload.args[0][0]}>(v)); return convert_to_python(std::move(r)); // in two steps to force type for expression templates in C++ } CATCH_AND_RETURN("in calling C++ overload \n ${overload._get_c_signature()} \nin implementation of operator ${overload._get_calling_pattern()} ", NULL) } %endfor PyErr_SetString(PyExc_RuntimeError,"Error: no C++ overload found in implementation of operator ${overload._get_calling_pattern()} "); return NULL; } %endif %endfor //--------------------- Implementation of iterator by wrapping the C++ ----------------------------- %if c.iterator : // the next() method of the iterator PyObject* ${c.py_type}__iterator__iternext__(PyObject *self) { auto * self_c = (${c.py_type}__iterator *)self; if (self_c->iter != self_c->end) { %if c.iterator.c_cast_type: PyObject *res = convert_to_python((${c.iterator.c_cast_type})(*(self_c->iter)));// make a COPY, I can not wrap a ref in python ! %else: PyObject *res = convert_to_python(*(self_c->iter));// make a COPY, I can not wrap a ref in python ! %endif ++self_c->iter; return res; } else { PyErr_SetNone(PyExc_StopIteration); return NULL; } } // the __iter__ of the main type: return a new iterator. Need to allocate and init it by hand (no init method). PyObject* ${c.py_type}___iter__(PyObject *self) { auto & self_c = convert_from_python<${c.c_type}>(self); auto * p = PyObject_New(${c.py_type}__iterator, &${c.py_type}__iteratorType); if (!p) return NULL; p->container = self; Py_INCREF(self); // We keep an owned reference to the container object (e.g. [x for x in g.mesh], if the container is a temporary and the iterator lives longer than its python reference). p->iter = ${c.iterator.begin}(self_c); p->end = ${c.iterator.end}(self_c); return (PyObject *)p; } %endif %endfor ## Big loop on classes c //------------------------------------------------------------------------ //--------------------- MODULE --------- ----------------------------- //------------------------------------------------------------------------ //--------------------- module function table ----------------------------- // the table of the function of the module... static PyMethodDef module_methods[] = { %for pyf in module.functions.values(): {"${pyf.py_name}", (PyCFunction)${module.name}_${pyf.py_name}, METH_VARARGS| METH_KEYWORDS, "${pyf._generate_doc()}"}, %endfor %for c in module.classes.values() : %if c.serializable == "tuple" : {"__reduce_reconstructor__${c.py_type}", (PyCFunction)${c.py_type}___reduce_reconstructor__, METH_VARARGS, "Internal " }, %endif %endfor {NULL} /* Sentinel */ }; //--------------------- module init function ----------------------------- // The code of all module python functions %for f in module.python_functions.values() : static const char * _module_python_function_code_${f.name} = ${f.code}; %endfor %for f in module.hidden_python_functions.values() : static const char * _module_hidden_python_function_code_${f.name} = ${f.code}; %endfor #ifndef PyMODINIT_FUNC /* declarations for DLL import/export */ #define PyMODINIT_FUNC void #endif PyMODINIT_FUNC init${module.name}(void) { // import numpy import_array(); PyObject* m; %for c in module.classes.values() : if (PyType_Ready(&${c.py_type}Type) < 0) return; %if c.iterator : // initializing the ${c.py_type}__iterator ${c.py_type}__iteratorType.tp_new = PyType_GenericNew; if (PyType_Ready(&${c.py_type}__iteratorType) < 0) return; Py_INCREF(&${c.py_type}__iteratorType); %endif %endfor m = Py_InitModule3("${module.name}", module_methods, "${module.doc}"); if (m == NULL) return; %for c in module.classes.values() : Py_INCREF(&${c.py_type}Type); PyModule_AddObject(m, "${c.py_type}", (PyObject *)&${c.py_type}Type); %endfor // hdf5 registration %for c in [c for c in module.classes.values() if c.hdf5]: register_h5_reader_for_${c.py_type}(); %endfor %if len(module.classes) >0 : // declare the exported wrapper functions static void * _exported_wrapped_convert_fnt[3*${len(module.classes)}]; // init the array with the function pointers %for n,c in enumerate(module.classes.values()) : _exported_wrapped_convert_fnt[3*${n}] = (void *)convert_to_python<${c.c_type_absolute}>; _exported_wrapped_convert_fnt[3*${n}+1] = (void *)convert_from_python<${c.c_type_absolute}>; _exported_wrapped_convert_fnt[3*${n}+2] = (void *)convertible_from_python<${c.c_type_absolute}>; %endfor /* Create a Capsule containing the API pointer array's address */ PyObject *c_api_object = PyCapsule_New((void *)_exported_wrapped_convert_fnt, "${module.full_name}._exported_wrapper_convert_fnt", NULL); if (c_api_object != NULL) PyModule_AddObject(m, "_exported_wrapper_convert_fnt", c_api_object); %endif %if len(module.python_functions) + len(module.hidden_python_functions) > 0 : PyObject* main_module = PyImport_AddModule("__main__"); //borrowed PyObject* global_dict = PyModule_GetDict(main_module); //borrowed // load and compile the module function defined in pure python %for f in module.python_functions.values() : if (!PyRun_String( _module_python_function_code_${f.name},Py_file_input, global_dict, PyModule_GetDict(m) )) return; %endfor // now the hidden python function ... _module_hidden_python_function = PyModule_New("hidden_functions"); // if we wish to still see the functions... PyModule_AddObject(m, "__hidden_fnt", _module_hidden_python_function); PyObject * d = PyModule_GetDict(_module_hidden_python_function); //borrowed %for f in module.hidden_python_functions.values() : if (!PyRun_String( _module_hidden_python_function_code_${f.name}, Py_file_input, global_dict ,d)) return; %endfor %endif }