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|
/*
resultproxy.c
Copyright (C) 2010-2021 the SQLAlchemy authors and contributors <see AUTHORS file>
Copyright (C) 2010-2011 Gaetan de Menten gdementen@gmail.com
This module is part of SQLAlchemy and is released under
the MIT License: http://www.opensource.org/licenses/mit-license.php
*/
#include <Python.h>
#define MODULE_NAME "cresultproxy"
#define MODULE_DOC "Module containing C versions of core ResultProxy classes."
#if PY_VERSION_HEX < 0x02050000 && !defined(PY_SSIZE_T_MIN)
typedef int Py_ssize_t;
#define PY_SSIZE_T_MAX INT_MAX
#define PY_SSIZE_T_MIN INT_MIN
typedef Py_ssize_t (*lenfunc)(PyObject *);
#define PyInt_FromSsize_t(x) PyInt_FromLong(x)
typedef intargfunc ssizeargfunc;
#endif
#if PY_MAJOR_VERSION < 3
// new typedef in Python 3
typedef long Py_hash_t;
// from pymacro.h, new in Python 3.2
#if defined(__GNUC__) || defined(__clang__)
# define Py_UNUSED(name) _unused_ ## name __attribute__((unused))
#else
# define Py_UNUSED(name) _unused_ ## name
#endif
#endif
/***********
* Structs *
***********/
typedef struct {
PyObject_HEAD
PyObject *parent;
PyObject *row;
PyObject *keymap;
long key_style;
} BaseRow;
static PyObject *sqlalchemy_engine_row = NULL;
static PyObject *sqlalchemy_engine_result = NULL;
//static int KEY_INTEGER_ONLY = 0;
static int KEY_OBJECTS_ONLY = 1;
static int KEY_OBJECTS_BUT_WARN = 2;
//static int KEY_OBJECTS_NO_WARN = 3;
/****************
* BaseRow *
****************/
static PyObject *
safe_rowproxy_reconstructor(PyObject *self, PyObject *args)
{
PyObject *cls, *state, *tmp;
BaseRow *obj;
if (!PyArg_ParseTuple(args, "OO", &cls, &state))
return NULL;
obj = (BaseRow *)PyObject_CallMethod(cls, "__new__", "O", cls);
if (obj == NULL)
return NULL;
tmp = PyObject_CallMethod((PyObject *)obj, "__setstate__", "O", state);
if (tmp == NULL) {
Py_DECREF(obj);
return NULL;
}
Py_DECREF(tmp);
if (obj->parent == NULL || obj->row == NULL ||
obj->keymap == NULL) {
PyErr_SetString(PyExc_RuntimeError,
"__setstate__ for BaseRow subclasses must set values "
"for parent, row, and keymap");
Py_DECREF(obj);
return NULL;
}
return (PyObject *)obj;
}
static int
BaseRow_init(BaseRow *self, PyObject *args, PyObject *kwds)
{
PyObject *parent, *keymap, *row, *processors, *key_style;
Py_ssize_t num_values, num_processors;
PyObject **valueptr, **funcptr, **resultptr;
PyObject *func, *result, *processed_value, *values_fastseq;
if (!PyArg_UnpackTuple(args, "BaseRow", 5, 5,
&parent, &processors, &keymap, &key_style, &row))
return -1;
Py_INCREF(parent);
self->parent = parent;
values_fastseq = PySequence_Fast(row, "row must be a sequence");
if (values_fastseq == NULL)
return -1;
num_values = PySequence_Length(values_fastseq);
if (processors != Py_None) {
num_processors = PySequence_Size(processors);
if (num_values != num_processors) {
PyErr_Format(PyExc_RuntimeError,
"number of values in row (%d) differ from number of column "
"processors (%d)",
(int)num_values, (int)num_processors);
return -1;
}
} else {
num_processors = -1;
}
result = PyTuple_New(num_values);
if (result == NULL)
return -1;
if (num_processors != -1) {
valueptr = PySequence_Fast_ITEMS(values_fastseq);
funcptr = PySequence_Fast_ITEMS(processors);
resultptr = PySequence_Fast_ITEMS(result);
while (--num_values >= 0) {
func = *funcptr;
if (func != Py_None) {
processed_value = PyObject_CallFunctionObjArgs(
func, *valueptr, NULL);
if (processed_value == NULL) {
Py_DECREF(values_fastseq);
Py_DECREF(result);
return -1;
}
*resultptr = processed_value;
} else {
Py_INCREF(*valueptr);
*resultptr = *valueptr;
}
valueptr++;
funcptr++;
resultptr++;
}
} else {
valueptr = PySequence_Fast_ITEMS(values_fastseq);
resultptr = PySequence_Fast_ITEMS(result);
while (--num_values >= 0) {
Py_INCREF(*valueptr);
*resultptr = *valueptr;
valueptr++;
resultptr++;
}
}
Py_DECREF(values_fastseq);
self->row = result;
if (!PyDict_CheckExact(keymap)) {
PyErr_SetString(PyExc_TypeError, "keymap must be a dict");
return -1;
}
Py_INCREF(keymap);
self->keymap = keymap;
self->key_style = PyLong_AsLong(key_style);
return 0;
}
/* We need the reduce method because otherwise the default implementation
* does very weird stuff for pickle protocol 0 and 1. It calls
* BaseRow.__new__(Row_instance) upon *pickling*.
*/
static PyObject *
BaseRow_reduce(PyObject *self)
{
PyObject *method, *state;
PyObject *module, *reconstructor, *cls;
method = PyObject_GetAttrString(self, "__getstate__");
if (method == NULL)
return NULL;
state = PyObject_CallObject(method, NULL);
Py_DECREF(method);
if (state == NULL)
return NULL;
if (sqlalchemy_engine_row == NULL) {
module = PyImport_ImportModule("sqlalchemy.engine.row");
if (module == NULL)
return NULL;
sqlalchemy_engine_row = module;
}
reconstructor = PyObject_GetAttrString(sqlalchemy_engine_row, "rowproxy_reconstructor");
if (reconstructor == NULL) {
Py_DECREF(state);
return NULL;
}
cls = PyObject_GetAttrString(self, "__class__");
if (cls == NULL) {
Py_DECREF(reconstructor);
Py_DECREF(state);
return NULL;
}
return Py_BuildValue("(N(NN))", reconstructor, cls, state);
}
static PyObject *
BaseRow_filter_on_values(BaseRow *self, PyObject *filters)
{
PyObject *module, *row_class, *new_obj, *key_style;
if (sqlalchemy_engine_row == NULL) {
module = PyImport_ImportModule("sqlalchemy.engine.row");
if (module == NULL)
return NULL;
sqlalchemy_engine_row = module;
}
// TODO: do we want to get self.__class__ instead here? I'm not sure
// how to use METH_VARARGS and then also get the BaseRow struct
// at the same time
row_class = PyObject_GetAttrString(sqlalchemy_engine_row, "Row");
key_style = PyLong_FromLong(self->key_style);
new_obj = PyObject_CallFunction(
row_class, "OOOOO", self->parent, filters, self->keymap,
key_style, self->row);
Py_DECREF(key_style);
Py_DECREF(row_class);
if (new_obj == NULL) {
return NULL;
}
return new_obj;
}
static void
BaseRow_dealloc(BaseRow *self)
{
Py_XDECREF(self->parent);
Py_XDECREF(self->row);
Py_XDECREF(self->keymap);
#if PY_MAJOR_VERSION >= 3
Py_TYPE(self)->tp_free((PyObject *)self);
#else
self->ob_type->tp_free((PyObject *)self);
#endif
}
static PyObject *
BaseRow_valuescollection(PyObject *values, int astuple)
{
PyObject *result;
if (astuple) {
result = PySequence_Tuple(values);
} else {
result = PySequence_List(values);
}
if (result == NULL)
return NULL;
return result;
}
static PyListObject *
BaseRow_values_impl(BaseRow *self)
{
return (PyListObject *)BaseRow_valuescollection(self->row, 0);
}
static Py_hash_t
BaseRow_hash(BaseRow *self)
{
return PyObject_Hash(self->row);
}
static PyObject *
BaseRow_iter(BaseRow *self)
{
PyObject *values, *result;
values = BaseRow_valuescollection(self->row, 1);
if (values == NULL)
return NULL;
result = PyObject_GetIter(values);
Py_DECREF(values);
if (result == NULL)
return NULL;
return result;
}
static Py_ssize_t
BaseRow_length(BaseRow *self)
{
return PySequence_Length(self->row);
}
static PyObject *
BaseRow_getitem(BaseRow *self, Py_ssize_t i)
{
PyObject *value;
PyObject *row;
row = self->row;
// row is a Tuple
value = PyTuple_GetItem(row, i);
if (value == NULL)
return NULL;
Py_INCREF(value);
return value;
}
static PyObject *
BaseRow_getitem_by_object(BaseRow *self, PyObject *key, int asmapping)
{
PyObject *record, *indexobject;
long index;
int key_fallback = 0;
// we want to raise TypeError for slice access on a mapping.
// Py3 will do this with PyDict_GetItemWithError, Py2 will do it
// with PyObject_GetItem. However in the Python2 case the object
// protocol gets in the way for reasons not entirely clear, so
// detect slice we have a key error and raise directly.
record = PyDict_GetItem((PyObject *)self->keymap, key);
if (record == NULL) {
if (PySlice_Check(key)) {
PyErr_Format(PyExc_TypeError, "can't use slices for mapping access");
return NULL;
}
record = PyObject_CallMethod(self->parent, "_key_fallback",
"OO", key, Py_None);
if (record == NULL)
return NULL;
key_fallback = 1; // boolean to indicate record is a new reference
}
indexobject = PyTuple_GetItem(record, 0);
if (indexobject == NULL)
return NULL;
if (key_fallback) {
Py_DECREF(record);
}
if (indexobject == Py_None) {
PyObject *tmp;
tmp = PyObject_CallMethod(self->parent, "_raise_for_ambiguous_column_name", "(O)", record);
if (tmp == NULL) {
return NULL;
}
Py_DECREF(tmp);
return NULL;
}
#if PY_MAJOR_VERSION >= 3
index = PyLong_AsLong(indexobject);
#else
index = PyInt_AsLong(indexobject);
#endif
if ((index == -1) && PyErr_Occurred())
/* -1 can be either the actual value, or an error flag. */
return NULL;
if (!asmapping && self->key_style == KEY_OBJECTS_BUT_WARN) {
PyObject *tmp;
tmp = PyObject_CallMethod(self->parent, "_warn_for_nonint", "O", key);
if (tmp == NULL) {
return NULL;
}
Py_DECREF(tmp);
}
return BaseRow_getitem(self, index);
}
static PyObject *
BaseRow_subscript_impl(BaseRow *self, PyObject *key, int asmapping)
{
PyObject *values;
PyObject *result;
long index;
#if PY_MAJOR_VERSION < 3
if (PyInt_CheckExact(key)) {
if (self->key_style == KEY_OBJECTS_ONLY) {
// TODO: being very lazy with error catching here
PyErr_Format(PyExc_KeyError, "%s", PyString_AsString(PyObject_Repr(key)));
return NULL;
}
index = PyInt_AS_LONG(key);
// support negative indexes. We can also call PySequence_GetItem,
// but here we can stay with the simpler tuple protocol
// rather than the seqeunce protocol which has to check for
// __getitem__ methods etc.
if (index < 0)
index += (long)BaseRow_length(self);
return BaseRow_getitem(self, index);
} else
#endif
if (PyLong_CheckExact(key)) {
if (self->key_style == KEY_OBJECTS_ONLY) {
#if PY_MAJOR_VERSION < 3
// TODO: being very lazy with error catching here
PyErr_Format(PyExc_KeyError, "%s", PyString_AsString(PyObject_Repr(key)));
#else
PyErr_Format(PyExc_KeyError, "%R", key);
#endif
return NULL;
}
index = PyLong_AsLong(key);
if ((index == -1) && PyErr_Occurred() != NULL)
/* -1 can be either the actual value, or an error flag. */
return NULL;
// support negative indexes. We can also call PySequence_GetItem,
// but here we can stay with the simpler tuple protocol
// rather than the seqeunce protocol which has to check for
// __getitem__ methods etc.
if (index < 0)
index += (long)BaseRow_length(self);
return BaseRow_getitem(self, index);
} else if (PySlice_Check(key) && self->key_style != KEY_OBJECTS_ONLY) {
values = PyObject_GetItem(self->row, key);
if (values == NULL)
return NULL;
result = BaseRow_valuescollection(values, 1);
Py_DECREF(values);
return result;
} else {
return BaseRow_getitem_by_object(self, key, asmapping);
}
}
static PyObject *
BaseRow_subscript(BaseRow *self, PyObject *key)
{
return BaseRow_subscript_impl(self, key, 0);
}
static PyObject *
BaseRow_subscript_mapping(BaseRow *self, PyObject *key)
{
if (self->key_style == KEY_OBJECTS_BUT_WARN) {
return BaseRow_subscript_impl(self, key, 0);
}
else {
return BaseRow_subscript_impl(self, key, 1);
}
}
static PyObject *
BaseRow_getattro(BaseRow *self, PyObject *name)
{
PyObject *tmp;
#if PY_MAJOR_VERSION >= 3
PyObject *err_bytes;
#endif
if (!(tmp = PyObject_GenericGetAttr((PyObject *)self, name))) {
if (!PyErr_ExceptionMatches(PyExc_AttributeError))
return NULL;
PyErr_Clear();
}
else
return tmp;
tmp = BaseRow_subscript_impl(self, name, 1);
if (tmp == NULL && PyErr_ExceptionMatches(PyExc_KeyError)) {
#if PY_MAJOR_VERSION >= 3
err_bytes = PyUnicode_AsASCIIString(name);
if (err_bytes == NULL)
return NULL;
PyErr_Format(
PyExc_AttributeError,
"Could not locate column in row for column '%.200s'",
PyBytes_AS_STRING(err_bytes)
);
#else
PyErr_Format(
PyExc_AttributeError,
"Could not locate column in row for column '%.200s'",
PyString_AsString(name)
);
#endif
return NULL;
}
return tmp;
}
/***********************
* getters and setters *
***********************/
static PyObject *
BaseRow_getparent(BaseRow *self, void *closure)
{
Py_INCREF(self->parent);
return self->parent;
}
static int
BaseRow_setparent(BaseRow *self, PyObject *value, void *closure)
{
PyObject *module, *cls;
if (value == NULL) {
PyErr_SetString(PyExc_TypeError,
"Cannot delete the 'parent' attribute");
return -1;
}
if (sqlalchemy_engine_result == NULL) {
module = PyImport_ImportModule("sqlalchemy.engine.result");
if (module == NULL)
return -1;
sqlalchemy_engine_result = module;
}
cls = PyObject_GetAttrString(sqlalchemy_engine_result, "ResultMetaData");
if (cls == NULL)
return -1;
if (PyObject_IsInstance(value, cls) != 1) {
PyErr_SetString(PyExc_TypeError,
"The 'parent' attribute value must be an instance of "
"ResultMetaData");
return -1;
}
Py_DECREF(cls);
Py_XDECREF(self->parent);
Py_INCREF(value);
self->parent = value;
return 0;
}
static PyObject *
BaseRow_getrow(BaseRow *self, void *closure)
{
Py_INCREF(self->row);
return self->row;
}
static int
BaseRow_setrow(BaseRow *self, PyObject *value, void *closure)
{
if (value == NULL) {
PyErr_SetString(PyExc_TypeError,
"Cannot delete the 'row' attribute");
return -1;
}
if (!PySequence_Check(value)) {
PyErr_SetString(PyExc_TypeError,
"The 'row' attribute value must be a sequence");
return -1;
}
Py_XDECREF(self->row);
Py_INCREF(value);
self->row = value;
return 0;
}
static PyObject *
BaseRow_getkeymap(BaseRow *self, void *closure)
{
Py_INCREF(self->keymap);
return self->keymap;
}
static int
BaseRow_setkeymap(BaseRow *self, PyObject *value, void *closure)
{
if (value == NULL) {
PyErr_SetString(PyExc_TypeError,
"Cannot delete the 'keymap' attribute");
return -1;
}
if (!PyDict_CheckExact(value)) {
PyErr_SetString(PyExc_TypeError,
"The 'keymap' attribute value must be a dict");
return -1;
}
Py_XDECREF(self->keymap);
Py_INCREF(value);
self->keymap = value;
return 0;
}
static PyObject *
BaseRow_getkeystyle(BaseRow *self, void *closure)
{
PyObject *result;
result = PyLong_FromLong(self->key_style);
Py_INCREF(result);
return result;
}
static int
BaseRow_setkeystyle(BaseRow *self, PyObject *value, void *closure)
{
if (value == NULL) {
PyErr_SetString(
PyExc_TypeError,
"Cannot delete the 'key_style' attribute");
return -1;
}
if (!PyLong_CheckExact(value)) {
PyErr_SetString(
PyExc_TypeError,
"The 'key_style' attribute value must be an integer");
return -1;
}
self->key_style = PyLong_AsLong(value);
return 0;
}
static PyGetSetDef BaseRow_getseters[] = {
{"_parent",
(getter)BaseRow_getparent, (setter)BaseRow_setparent,
"ResultMetaData",
NULL},
{"_data",
(getter)BaseRow_getrow, (setter)BaseRow_setrow,
"processed data list",
NULL},
{"_keymap",
(getter)BaseRow_getkeymap, (setter)BaseRow_setkeymap,
"Key to (obj, index) dict",
NULL},
{"_key_style",
(getter)BaseRow_getkeystyle, (setter)BaseRow_setkeystyle,
"Return the key style",
NULL},
{NULL}
};
static PyMethodDef BaseRow_methods[] = {
{"_values_impl", (PyCFunction)BaseRow_values_impl, METH_NOARGS,
"Return the values represented by this BaseRow as a list."},
{"__reduce__", (PyCFunction)BaseRow_reduce, METH_NOARGS,
"Pickle support method."},
{"_get_by_key_impl", (PyCFunction)BaseRow_subscript, METH_O,
"implement mapping-like getitem as well as sequence getitem"},
{"_get_by_key_impl_mapping", (PyCFunction)BaseRow_subscript_mapping, METH_O,
"implement mapping-like getitem as well as sequence getitem"},
{"_filter_on_values", (PyCFunction)BaseRow_filter_on_values, METH_O,
"return a new Row with per-value filters applied to columns"},
{NULL} /* Sentinel */
};
// currently, the sq_item hook is not used by Python except for slices,
// because we also implement subscript_mapping which seems to intercept
// integers. Ideally, when there
// is a complete separation of "row" from "mapping", we can make
// two separate types here so that one has only sq_item and the other
// has only mp_subscript.
static PySequenceMethods BaseRow_as_sequence = {
(lenfunc)BaseRow_length, /* sq_length */
0, /* sq_concat */
0, /* sq_repeat */
(ssizeargfunc)BaseRow_getitem, /* sq_item */
0, /* sq_slice */
0, /* sq_ass_item */
0, /* sq_ass_slice */
0, /* sq_contains */
0, /* sq_inplace_concat */
0, /* sq_inplace_repeat */
};
static PyMappingMethods BaseRow_as_mapping = {
(lenfunc)BaseRow_length, /* mp_length */
(binaryfunc)BaseRow_subscript_mapping, /* mp_subscript */
0 /* mp_ass_subscript */
};
static PyTypeObject BaseRowType = {
PyVarObject_HEAD_INIT(NULL, 0)
"sqlalchemy.cresultproxy.BaseRow", /* tp_name */
sizeof(BaseRow), /* tp_basicsize */
0, /* tp_itemsize */
(destructor)BaseRow_dealloc, /* tp_dealloc */
0, /* tp_print */
0, /* tp_getattr */
0, /* tp_setattr */
0, /* tp_compare */
0, /* tp_repr */
0, /* tp_as_number */
&BaseRow_as_sequence, /* tp_as_sequence */
&BaseRow_as_mapping, /* tp_as_mapping */
(hashfunc)BaseRow_hash, /* tp_hash */
0, /* tp_call */
0, /* tp_str */
(getattrofunc)BaseRow_getattro,/* tp_getattro */
0, /* tp_setattro */
0, /* tp_as_buffer */
Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE, /* tp_flags */
"BaseRow is a abstract base class for Row", /* tp_doc */
0, /* tp_traverse */
0, /* tp_clear */
0, /* tp_richcompare */
0, /* tp_weaklistoffset */
(getiterfunc)BaseRow_iter, /* tp_iter */
0, /* tp_iternext */
BaseRow_methods, /* tp_methods */
0, /* tp_members */
BaseRow_getseters, /* tp_getset */
0, /* tp_base */
0, /* tp_dict */
0, /* tp_descr_get */
0, /* tp_descr_set */
0, /* tp_dictoffset */
(initproc)BaseRow_init, /* tp_init */
0, /* tp_alloc */
0 /* tp_new */
};
/* _tuplegetter function ************************************************/
/*
retrieves segments of a row as tuples.
mostly like operator.itemgetter but calls a fixed method instead,
returns tuple every time.
*/
typedef struct {
PyObject_HEAD
Py_ssize_t nitems;
PyObject *item;
} tuplegetterobject;
static PyTypeObject tuplegetter_type;
static PyObject *
tuplegetter_new(PyTypeObject *type, PyObject *args, PyObject *kwds)
{
tuplegetterobject *tg;
PyObject *item;
Py_ssize_t nitems;
if (!_PyArg_NoKeywords("tuplegetter", kwds))
return NULL;
nitems = PyTuple_GET_SIZE(args);
item = args;
tg = PyObject_GC_New(tuplegetterobject, &tuplegetter_type);
if (tg == NULL)
return NULL;
Py_INCREF(item);
tg->item = item;
tg->nitems = nitems;
PyObject_GC_Track(tg);
return (PyObject *)tg;
}
static void
tuplegetter_dealloc(tuplegetterobject *tg)
{
PyObject_GC_UnTrack(tg);
Py_XDECREF(tg->item);
PyObject_GC_Del(tg);
}
static int
tuplegetter_traverse(tuplegetterobject *tg, visitproc visit, void *arg)
{
Py_VISIT(tg->item);
return 0;
}
static PyObject *
tuplegetter_call(tuplegetterobject *tg, PyObject *args, PyObject *kw)
{
PyObject *row_or_tuple, *result;
Py_ssize_t i, nitems=tg->nitems;
int has_row_method;
assert(PyTuple_CheckExact(args));
// this is a tuple, however if its a BaseRow subclass we want to
// call specific methods to bypass the pure python LegacyRow.__getitem__
// method for now
row_or_tuple = PyTuple_GET_ITEM(args, 0);
has_row_method = PyObject_HasAttrString(row_or_tuple, "_get_by_key_impl_mapping");
assert(PyTuple_Check(tg->item));
assert(PyTuple_GET_SIZE(tg->item) == nitems);
result = PyTuple_New(nitems);
if (result == NULL)
return NULL;
for (i=0 ; i < nitems ; i++) {
PyObject *item, *val;
item = PyTuple_GET_ITEM(tg->item, i);
if (has_row_method) {
val = PyObject_CallMethod(row_or_tuple, "_get_by_key_impl_mapping", "O", item);
}
else {
val = PyObject_GetItem(row_or_tuple, item);
}
if (val == NULL) {
Py_DECREF(result);
return NULL;
}
PyTuple_SET_ITEM(result, i, val);
}
return result;
}
static PyObject *
tuplegetter_repr(tuplegetterobject *tg)
{
PyObject *repr;
const char *reprfmt;
int status = Py_ReprEnter((PyObject *)tg);
if (status != 0) {
if (status < 0)
return NULL;
return PyUnicode_FromFormat("%s(...)", Py_TYPE(tg)->tp_name);
}
reprfmt = tg->nitems == 1 ? "%s(%R)" : "%s%R";
repr = PyUnicode_FromFormat(reprfmt, Py_TYPE(tg)->tp_name, tg->item);
Py_ReprLeave((PyObject *)tg);
return repr;
}
static PyObject *
tuplegetter_reduce(tuplegetterobject *tg, PyObject *Py_UNUSED(ignored))
{
return PyTuple_Pack(2, Py_TYPE(tg), tg->item);
}
PyDoc_STRVAR(reduce_doc, "Return state information for pickling");
static PyMethodDef tuplegetter_methods[] = {
{"__reduce__", (PyCFunction)tuplegetter_reduce, METH_NOARGS,
reduce_doc},
{NULL}
};
PyDoc_STRVAR(tuplegetter_doc,
"tuplegetter(item, ...) --> tuplegetter object\n\
\n\
Return a callable object that fetches the given item(s) from its operand\n\
and returns them as a tuple.\n");
static PyTypeObject tuplegetter_type = {
PyVarObject_HEAD_INIT(NULL, 0)
"sqlalchemy.engine.util.tuplegetter", /* tp_name */
sizeof(tuplegetterobject), /* tp_basicsize */
0, /* tp_itemsize */
/* methods */
(destructor)tuplegetter_dealloc, /* tp_dealloc */
0, /* tp_vectorcall_offset */
0, /* tp_getattr */
0, /* tp_setattr */
0, /* tp_as_async */
(reprfunc)tuplegetter_repr, /* tp_repr */
0, /* tp_as_number */
0, /* tp_as_sequence */
0, /* tp_as_mapping */
0, /* tp_hash */
(ternaryfunc)tuplegetter_call, /* tp_call */
0, /* tp_str */
PyObject_GenericGetAttr, /* tp_getattro */
0, /* tp_setattro */
0, /* tp_as_buffer */
Py_TPFLAGS_DEFAULT | Py_TPFLAGS_HAVE_GC, /* tp_flags */
tuplegetter_doc, /* tp_doc */
(traverseproc)tuplegetter_traverse, /* tp_traverse */
0, /* tp_clear */
0, /* tp_richcompare */
0, /* tp_weaklistoffset */
0, /* tp_iter */
0, /* tp_iternext */
tuplegetter_methods, /* tp_methods */
0, /* tp_members */
0, /* tp_getset */
0, /* tp_base */
0, /* tp_dict */
0, /* tp_descr_get */
0, /* tp_descr_set */
0, /* tp_dictoffset */
0, /* tp_init */
0, /* tp_alloc */
tuplegetter_new, /* tp_new */
0, /* tp_free */
};
static PyMethodDef module_methods[] = {
{"safe_rowproxy_reconstructor", safe_rowproxy_reconstructor, METH_VARARGS,
"reconstruct a Row instance from its pickled form."},
{NULL, NULL, 0, NULL} /* Sentinel */
};
#ifndef PyMODINIT_FUNC /* declarations for DLL import/export */
#define PyMODINIT_FUNC void
#endif
#if PY_MAJOR_VERSION >= 3
static struct PyModuleDef module_def = {
PyModuleDef_HEAD_INIT,
MODULE_NAME,
MODULE_DOC,
-1,
module_methods
};
#define INITERROR return NULL
PyMODINIT_FUNC
PyInit_cresultproxy(void)
#else
#define INITERROR return
PyMODINIT_FUNC
initcresultproxy(void)
#endif
{
PyObject *m;
BaseRowType.tp_new = PyType_GenericNew;
if (PyType_Ready(&BaseRowType) < 0)
INITERROR;
if (PyType_Ready(&tuplegetter_type) < 0)
INITERROR;
#if PY_MAJOR_VERSION >= 3
m = PyModule_Create(&module_def);
#else
m = Py_InitModule3(MODULE_NAME, module_methods, MODULE_DOC);
#endif
if (m == NULL)
INITERROR;
Py_INCREF(&BaseRowType);
PyModule_AddObject(m, "BaseRow", (PyObject *)&BaseRowType);
Py_INCREF(&tuplegetter_type);
PyModule_AddObject(m, "tuplegetter", (PyObject *)&tuplegetter_type);
#if PY_MAJOR_VERSION >= 3
return m;
#endif
}
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