cpython/Objects/abstract.c

2247 lines
48 KiB
C
Raw Normal View History

1995-07-18 11:12:02 -03:00
/* Abstract Object Interface (many thanks to Jim Fulton) */
1995-07-18 11:12:02 -03:00
#include "Python.h"
#include <ctype.h>
#include "structmember.h" /* we need the offsetof() macro from there */
#include "longintrepr.h"
#define NEW_STYLE_NUMBER(o) PyType_HasFeature((o)->ob_type, \
Py_TPFLAGS_CHECKTYPES)
1995-07-18 11:12:02 -03:00
/* Shorthands to return certain errors */
1995-07-18 11:12:02 -03:00
static PyObject *
type_error(const char *msg)
1995-07-18 11:12:02 -03:00
{
PyErr_SetString(PyExc_TypeError, msg);
return NULL;
1995-07-18 11:12:02 -03:00
}
static PyObject *
2000-07-09 01:06:11 -03:00
null_error(void)
1995-07-18 11:12:02 -03:00
{
if (!PyErr_Occurred())
PyErr_SetString(PyExc_SystemError,
"null argument to internal routine");
return NULL;
1995-07-18 11:12:02 -03:00
}
/* Operations on any object */
1995-07-18 11:12:02 -03:00
int
2000-07-09 01:06:11 -03:00
PyObject_Cmp(PyObject *o1, PyObject *o2, int *result)
1995-07-18 11:12:02 -03:00
{
int r;
if (o1 == NULL || o2 == NULL) {
null_error();
return -1;
1995-07-18 11:12:02 -03:00
}
r = PyObject_Compare(o1, o2);
if (PyErr_Occurred())
return -1;
*result = r;
1995-07-18 11:12:02 -03:00
return 0;
}
PyObject *
2000-07-09 01:06:11 -03:00
PyObject_Type(PyObject *o)
1995-07-18 11:12:02 -03:00
{
PyObject *v;
if (o == NULL)
return null_error();
1995-07-18 11:12:02 -03:00
v = (PyObject *)o->ob_type;
Py_INCREF(v);
return v;
}
int
PyObject_Size(PyObject *o)
1995-07-18 11:12:02 -03:00
{
PySequenceMethods *m;
1995-07-18 11:12:02 -03:00
if (o == NULL) {
null_error();
return -1;
}
1995-07-18 11:12:02 -03:00
m = o->ob_type->tp_as_sequence;
if (m && m->sq_length)
return m->sq_length(o);
1995-07-18 11:12:02 -03:00
return PyMapping_Size(o);
1995-07-18 11:12:02 -03:00
}
#undef PyObject_Length
int
PyObject_Length(PyObject *o)
{
return PyObject_Size(o);
}
#define PyObject_Length PyObject_Size
int
_PyObject_LengthCue(PyObject *o)
{
int rv = PyObject_Size(o);
if (rv != -1)
return rv;
if (PyErr_ExceptionMatches(PyExc_TypeError) ||
PyErr_ExceptionMatches(PyExc_AttributeError)) {
PyObject *err_type, *err_value, *err_tb, *ro;
PyErr_Fetch(&err_type, &err_value, &err_tb);
ro = PyObject_CallMethod(o, "_length_cue", NULL);
if (ro != NULL) {
rv = (int)PyInt_AsLong(ro);
Py_DECREF(ro);
Py_XDECREF(err_type);
Py_XDECREF(err_value);
Py_XDECREF(err_tb);
return rv;
}
PyErr_Restore(err_type, err_value, err_tb);
}
return -1;
}
1995-07-18 11:12:02 -03:00
PyObject *
2000-07-09 01:06:11 -03:00
PyObject_GetItem(PyObject *o, PyObject *key)
1995-07-18 11:12:02 -03:00
{
PyMappingMethods *m;
1995-07-18 11:12:02 -03:00
if (o == NULL || key == NULL)
return null_error();
1995-07-18 11:12:02 -03:00
m = o->ob_type->tp_as_mapping;
if (m && m->mp_subscript)
return m->mp_subscript(o, key);
1995-07-18 11:12:02 -03:00
if (o->ob_type->tp_as_sequence) {
if (PyInt_Check(key))
return PySequence_GetItem(o, PyInt_AsLong(key));
else if (PyLong_Check(key)) {
long key_value = PyLong_AsLong(key);
if (key_value == -1 && PyErr_Occurred())
return NULL;
return PySequence_GetItem(o, key_value);
}
else if (o->ob_type->tp_as_sequence->sq_item)
return type_error("sequence index must be integer");
}
return type_error("unsubscriptable object");
1995-07-18 11:12:02 -03:00
}
int
2000-07-09 01:06:11 -03:00
PyObject_SetItem(PyObject *o, PyObject *key, PyObject *value)
1995-07-18 11:12:02 -03:00
{
PyMappingMethods *m;
1995-07-18 11:12:02 -03:00
if (o == NULL || key == NULL || value == NULL) {
null_error();
return -1;
}
m = o->ob_type->tp_as_mapping;
if (m && m->mp_ass_subscript)
return m->mp_ass_subscript(o, key, value);
if (o->ob_type->tp_as_sequence) {
if (PyInt_Check(key))
return PySequence_SetItem(o, PyInt_AsLong(key), value);
else if (PyLong_Check(key)) {
long key_value = PyLong_AsLong(key);
if (key_value == -1 && PyErr_Occurred())
return -1;
return PySequence_SetItem(o, key_value, value);
}
else if (o->ob_type->tp_as_sequence->sq_ass_item) {
type_error("sequence index must be integer");
return -1;
}
}
1995-07-18 11:12:02 -03:00
type_error("object does not support item assignment");
return -1;
1995-07-18 11:12:02 -03:00
}
int
2000-07-09 01:06:11 -03:00
PyObject_DelItem(PyObject *o, PyObject *key)
{
PyMappingMethods *m;
if (o == NULL || key == NULL) {
null_error();
return -1;
}
m = o->ob_type->tp_as_mapping;
if (m && m->mp_ass_subscript)
return m->mp_ass_subscript(o, key, (PyObject*)NULL);
if (o->ob_type->tp_as_sequence) {
if (PyInt_Check(key))
return PySequence_DelItem(o, PyInt_AsLong(key));
else if (PyLong_Check(key)) {
long key_value = PyLong_AsLong(key);
if (key_value == -1 && PyErr_Occurred())
return -1;
return PySequence_DelItem(o, key_value);
}
else if (o->ob_type->tp_as_sequence->sq_ass_item) {
type_error("sequence index must be integer");
return -1;
}
}
type_error("object does not support item deletion");
return -1;
}
int
PyObject_DelItemString(PyObject *o, char *key)
{
PyObject *okey;
int ret;
if (o == NULL || key == NULL) {
null_error();
return -1;
}
okey = PyString_FromString(key);
if (okey == NULL)
return -1;
ret = PyObject_DelItem(o, okey);
Py_DECREF(okey);
return ret;
}
int PyObject_AsCharBuffer(PyObject *obj,
const char **buffer,
int *buffer_len)
{
PyBufferProcs *pb;
const char *pp;
int len;
if (obj == NULL || buffer == NULL || buffer_len == NULL) {
null_error();
return -1;
}
pb = obj->ob_type->tp_as_buffer;
if (pb == NULL ||
pb->bf_getcharbuffer == NULL ||
pb->bf_getsegcount == NULL) {
PyErr_SetString(PyExc_TypeError,
"expected a character buffer object");
return -1;
}
if ((*pb->bf_getsegcount)(obj,NULL) != 1) {
PyErr_SetString(PyExc_TypeError,
"expected a single-segment buffer object");
return -1;
}
len = (*pb->bf_getcharbuffer)(obj, 0, &pp);
if (len < 0)
return -1;
*buffer = pp;
*buffer_len = len;
return 0;
}
int
PyObject_CheckReadBuffer(PyObject *obj)
{
PyBufferProcs *pb = obj->ob_type->tp_as_buffer;
if (pb == NULL ||
pb->bf_getreadbuffer == NULL ||
pb->bf_getsegcount == NULL ||
(*pb->bf_getsegcount)(obj, NULL) != 1)
return 0;
return 1;
}
int PyObject_AsReadBuffer(PyObject *obj,
const void **buffer,
int *buffer_len)
{
PyBufferProcs *pb;
void *pp;
int len;
if (obj == NULL || buffer == NULL || buffer_len == NULL) {
null_error();
return -1;
}
pb = obj->ob_type->tp_as_buffer;
if (pb == NULL ||
pb->bf_getreadbuffer == NULL ||
pb->bf_getsegcount == NULL) {
PyErr_SetString(PyExc_TypeError,
"expected a readable buffer object");
return -1;
}
if ((*pb->bf_getsegcount)(obj, NULL) != 1) {
PyErr_SetString(PyExc_TypeError,
"expected a single-segment buffer object");
return -1;
}
len = (*pb->bf_getreadbuffer)(obj, 0, &pp);
if (len < 0)
return -1;
*buffer = pp;
*buffer_len = len;
return 0;
}
int PyObject_AsWriteBuffer(PyObject *obj,
void **buffer,
int *buffer_len)
{
PyBufferProcs *pb;
void*pp;
int len;
if (obj == NULL || buffer == NULL || buffer_len == NULL) {
null_error();
return -1;
}
pb = obj->ob_type->tp_as_buffer;
if (pb == NULL ||
pb->bf_getwritebuffer == NULL ||
pb->bf_getsegcount == NULL) {
PyErr_SetString(PyExc_TypeError,
"expected a writeable buffer object");
return -1;
}
if ((*pb->bf_getsegcount)(obj, NULL) != 1) {
PyErr_SetString(PyExc_TypeError,
"expected a single-segment buffer object");
return -1;
}
len = (*pb->bf_getwritebuffer)(obj,0,&pp);
if (len < 0)
return -1;
*buffer = pp;
*buffer_len = len;
return 0;
}
/* Operations on numbers */
int
2000-07-09 01:06:11 -03:00
PyNumber_Check(PyObject *o)
1995-07-18 11:12:02 -03:00
{
return o && o->ob_type->tp_as_number &&
(o->ob_type->tp_as_number->nb_int ||
o->ob_type->tp_as_number->nb_float);
1995-07-18 11:12:02 -03:00
}
/* Binary operators */
1995-07-18 11:12:02 -03:00
/* New style number protocol support */
1995-07-18 11:12:02 -03:00
#define NB_SLOT(x) offsetof(PyNumberMethods, x)
#define NB_BINOP(nb_methods, slot) \
(*(binaryfunc*)(& ((char*)nb_methods)[slot]))
#define NB_TERNOP(nb_methods, slot) \
(*(ternaryfunc*)(& ((char*)nb_methods)[slot]))
1995-07-18 11:12:02 -03:00
/*
Calling scheme used for binary operations:
1995-07-18 11:12:02 -03:00
v w Action
-------------------------------------------------------------------
new new w.op(v,w)[*], v.op(v,w), w.op(v,w)
new old v.op(v,w), coerce(v,w), v.op(v,w)
old new w.op(v,w), coerce(v,w), v.op(v,w)
old old coerce(v,w), v.op(v,w)
1995-07-18 11:12:02 -03:00
[*] only when v->ob_type != w->ob_type && w->ob_type is a subclass of
v->ob_type
Legend:
-------
* new == new style number
* old == old style number
* Action indicates the order in which operations are tried until either
a valid result is produced or an error occurs.
*/
static PyObject *
binary_op1(PyObject *v, PyObject *w, const int op_slot)
{
PyObject *x;
binaryfunc slotv = NULL;
binaryfunc slotw = NULL;
if (v->ob_type->tp_as_number != NULL && NEW_STYLE_NUMBER(v))
slotv = NB_BINOP(v->ob_type->tp_as_number, op_slot);
if (w->ob_type != v->ob_type &&
w->ob_type->tp_as_number != NULL && NEW_STYLE_NUMBER(w)) {
slotw = NB_BINOP(w->ob_type->tp_as_number, op_slot);
if (slotw == slotv)
slotw = NULL;
}
if (slotv) {
if (slotw && PyType_IsSubtype(w->ob_type, v->ob_type)) {
x = slotw(v, w);
if (x != Py_NotImplemented)
return x;
Py_DECREF(x); /* can't do it */
slotw = NULL;
}
x = slotv(v, w);
if (x != Py_NotImplemented)
return x;
Py_DECREF(x); /* can't do it */
}
if (slotw) {
x = slotw(v, w);
if (x != Py_NotImplemented)
return x;
Py_DECREF(x); /* can't do it */
}
if (!NEW_STYLE_NUMBER(v) || !NEW_STYLE_NUMBER(w)) {
int err = PyNumber_CoerceEx(&v, &w);
if (err < 0) {
1995-07-18 11:12:02 -03:00
return NULL;
}
if (err == 0) {
PyNumberMethods *mv = v->ob_type->tp_as_number;
if (mv) {
binaryfunc slot;
slot = NB_BINOP(mv, op_slot);
if (slot) {
PyObject *x = slot(v, w);
Py_DECREF(v);
Py_DECREF(w);
return x;
}
}
/* CoerceEx incremented the reference counts */
Py_DECREF(v);
Py_DECREF(w);
}
1995-07-18 11:12:02 -03:00
}
Py_INCREF(Py_NotImplemented);
return Py_NotImplemented;
1995-07-18 11:12:02 -03:00
}
static PyObject *
binop_type_error(PyObject *v, PyObject *w, const char *op_name)
{
PyErr_Format(PyExc_TypeError,
"unsupported operand type(s) for %s: '%s' and '%s'",
op_name,
v->ob_type->tp_name,
w->ob_type->tp_name);
return NULL;
}
static PyObject *
binary_op(PyObject *v, PyObject *w, const int op_slot, const char *op_name)
1995-07-18 11:12:02 -03:00
{
PyObject *result = binary_op1(v, w, op_slot);
if (result == Py_NotImplemented) {
Py_DECREF(result);
return binop_type_error(v, w, op_name);
1995-07-18 11:12:02 -03:00
}
return result;
1995-07-18 11:12:02 -03:00
}
/*
Calling scheme used for ternary operations:
1995-07-18 11:12:02 -03:00
*** In some cases, w.op is called before v.op; see binary_op1. ***
v w z Action
-------------------------------------------------------------------
new new new v.op(v,w,z), w.op(v,w,z), z.op(v,w,z)
new old new v.op(v,w,z), z.op(v,w,z), coerce(v,w,z), v.op(v,w,z)
old new new w.op(v,w,z), z.op(v,w,z), coerce(v,w,z), v.op(v,w,z)
old old new z.op(v,w,z), coerce(v,w,z), v.op(v,w,z)
new new old v.op(v,w,z), w.op(v,w,z), coerce(v,w,z), v.op(v,w,z)
new old old v.op(v,w,z), coerce(v,w,z), v.op(v,w,z)
old new old w.op(v,w,z), coerce(v,w,z), v.op(v,w,z)
old old old coerce(v,w,z), v.op(v,w,z)
1995-07-18 11:12:02 -03:00
Legend:
-------
* new == new style number
* old == old style number
* Action indicates the order in which operations are tried until either
a valid result is produced or an error occurs.
* coerce(v,w,z) actually does: coerce(v,w), coerce(v,z), coerce(w,z) and
only if z != Py_None; if z == Py_None, then it is treated as absent
variable and only coerce(v,w) is tried.
*/
static PyObject *
ternary_op(PyObject *v,
PyObject *w,
PyObject *z,
const int op_slot,
const char *op_name)
{
PyNumberMethods *mv, *mw, *mz;
PyObject *x = NULL;
ternaryfunc slotv = NULL;
ternaryfunc slotw = NULL;
ternaryfunc slotz = NULL;
mv = v->ob_type->tp_as_number;
mw = w->ob_type->tp_as_number;
if (mv != NULL && NEW_STYLE_NUMBER(v))
slotv = NB_TERNOP(mv, op_slot);
if (w->ob_type != v->ob_type &&
mw != NULL && NEW_STYLE_NUMBER(w)) {
slotw = NB_TERNOP(mw, op_slot);
if (slotw == slotv)
slotw = NULL;
}
if (slotv) {
if (slotw && PyType_IsSubtype(w->ob_type, v->ob_type)) {
x = slotw(v, w, z);
if (x != Py_NotImplemented)
return x;
Py_DECREF(x); /* can't do it */
slotw = NULL;
}
x = slotv(v, w, z);
if (x != Py_NotImplemented)
return x;
Py_DECREF(x); /* can't do it */
}
if (slotw) {
x = slotw(v, w, z);
if (x != Py_NotImplemented)
return x;
Py_DECREF(x); /* can't do it */
1995-07-18 11:12:02 -03:00
}
mz = z->ob_type->tp_as_number;
if (mz != NULL && NEW_STYLE_NUMBER(z)) {
slotz = NB_TERNOP(mz, op_slot);
if (slotz == slotv || slotz == slotw)
slotz = NULL;
if (slotz) {
x = slotz(v, w, z);
if (x != Py_NotImplemented)
return x;
Py_DECREF(x); /* can't do it */
}
}
if (!NEW_STYLE_NUMBER(v) || !NEW_STYLE_NUMBER(w) ||
(z != Py_None && !NEW_STYLE_NUMBER(z))) {
/* we have an old style operand, coerce */
PyObject *v1, *z1, *w2, *z2;
int c;
c = PyNumber_Coerce(&v, &w);
if (c != 0)
goto error3;
/* Special case: if the third argument is None, it is
treated as absent argument and not coerced. */
if (z == Py_None) {
if (v->ob_type->tp_as_number) {
slotz = NB_TERNOP(v->ob_type->tp_as_number,
op_slot);
if (slotz)
x = slotz(v, w, z);
else
c = -1;
}
else
c = -1;
goto error2;
}
v1 = v;
z1 = z;
c = PyNumber_Coerce(&v1, &z1);
if (c != 0)
goto error2;
w2 = w;
z2 = z1;
c = PyNumber_Coerce(&w2, &z2);
if (c != 0)
goto error1;
if (v1->ob_type->tp_as_number != NULL) {
slotv = NB_TERNOP(v1->ob_type->tp_as_number,
op_slot);
if (slotv)
x = slotv(v1, w2, z2);
else
c = -1;
}
else
c = -1;
Py_DECREF(w2);
Py_DECREF(z2);
error1:
Py_DECREF(v1);
Py_DECREF(z1);
error2:
Py_DECREF(v);
Py_DECREF(w);
error3:
if (c >= 0)
return x;
1995-07-18 11:12:02 -03:00
}
if (z == Py_None)
PyErr_Format(
PyExc_TypeError,
"unsupported operand type(s) for ** or pow(): "
"'%s' and '%s'",
v->ob_type->tp_name,
w->ob_type->tp_name);
else
PyErr_Format(
PyExc_TypeError,
"unsupported operand type(s) for pow(): "
"'%s', '%s', '%s'",
v->ob_type->tp_name,
w->ob_type->tp_name,
z->ob_type->tp_name);
return NULL;
1995-07-18 11:12:02 -03:00
}
#define BINARY_FUNC(func, op, op_name) \
PyObject * \
func(PyObject *v, PyObject *w) { \
return binary_op(v, w, NB_SLOT(op), op_name); \
}
BINARY_FUNC(PyNumber_Or, nb_or, "|")
BINARY_FUNC(PyNumber_Xor, nb_xor, "^")
BINARY_FUNC(PyNumber_And, nb_and, "&")
BINARY_FUNC(PyNumber_Lshift, nb_lshift, "<<")
BINARY_FUNC(PyNumber_Rshift, nb_rshift, ">>")
BINARY_FUNC(PyNumber_Subtract, nb_subtract, "-")
BINARY_FUNC(PyNumber_Divide, nb_divide, "/")
BINARY_FUNC(PyNumber_Divmod, nb_divmod, "divmod()")
1995-07-18 11:12:02 -03:00
PyObject *
PyNumber_Add(PyObject *v, PyObject *w)
1995-07-18 11:12:02 -03:00
{
PyObject *result = binary_op1(v, w, NB_SLOT(nb_add));
if (result == Py_NotImplemented) {
PySequenceMethods *m = v->ob_type->tp_as_sequence;
if (m && m->sq_concat) {
Py_DECREF(result);
result = (*m->sq_concat)(v, w);
}
if (result == Py_NotImplemented) {
Py_DECREF(result);
return binop_type_error(v, w, "+");
}
1995-07-18 11:12:02 -03:00
}
return result;
1995-07-18 11:12:02 -03:00
}
static PyObject *
sequence_repeat(intargfunc repeatfunc, PyObject *seq, PyObject *n)
{
long count;
if (PyInt_Check(n)) {
count = PyInt_AsLong(n);
}
else if (PyLong_Check(n)) {
count = PyLong_AsLong(n);
if (count == -1 && PyErr_Occurred())
return NULL;
}
else {
return type_error(
"can't multiply sequence by non-int");
}
#if LONG_MAX != INT_MAX
if (count > INT_MAX) {
PyErr_SetString(PyExc_ValueError,
"sequence repeat count too large");
return NULL;
}
else if (count < INT_MIN)
count = INT_MIN;
/* XXX Why don't I either
- set count to -1 whenever it's negative (after all,
sequence repeat usually treats negative numbers
as zero(); or
- raise an exception when it's less than INT_MIN?
I'm thinking about a hypothetical use case where some
sequence type might use a negative value as a flag of
some kind. In those cases I don't want to break the
code by mapping all negative values to -1. But I also
don't want to break e.g. []*(-sys.maxint), which is
perfectly safe, returning []. As a compromise, I do
map out-of-range negative values.
*/
#endif
return (*repeatfunc)(seq, (int)count);
}
PyObject *
PyNumber_Multiply(PyObject *v, PyObject *w)
{
PyObject *result = binary_op1(v, w, NB_SLOT(nb_multiply));
if (result == Py_NotImplemented) {
PySequenceMethods *mv = v->ob_type->tp_as_sequence;
PySequenceMethods *mw = w->ob_type->tp_as_sequence;
Py_DECREF(result);
if (mv && mv->sq_repeat) {
return sequence_repeat(mv->sq_repeat, v, w);
}
else if (mw && mw->sq_repeat) {
return sequence_repeat(mw->sq_repeat, w, v);
}
result = binop_type_error(v, w, "*");
}
return result;
}
PyObject *
PyNumber_FloorDivide(PyObject *v, PyObject *w)
{
/* XXX tp_flags test */
return binary_op(v, w, NB_SLOT(nb_floor_divide), "//");
}
PyObject *
PyNumber_TrueDivide(PyObject *v, PyObject *w)
{
/* XXX tp_flags test */
return binary_op(v, w, NB_SLOT(nb_true_divide), "/");
}
1995-07-18 11:12:02 -03:00
PyObject *
2000-07-09 01:06:11 -03:00
PyNumber_Remainder(PyObject *v, PyObject *w)
1995-07-18 11:12:02 -03:00
{
return binary_op(v, w, NB_SLOT(nb_remainder), "%");
1995-07-18 11:12:02 -03:00
}
PyObject *
2000-07-09 01:06:11 -03:00
PyNumber_Power(PyObject *v, PyObject *w, PyObject *z)
1995-07-18 11:12:02 -03:00
{
return ternary_op(v, w, z, NB_SLOT(nb_power), "** or pow()");
1995-07-18 11:12:02 -03:00
}
/* Binary in-place operators */
/* The in-place operators are defined to fall back to the 'normal',
non in-place operations, if the in-place methods are not in place.
- If the left hand object has the appropriate struct members, and
they are filled, call the appropriate function and return the
result. No coercion is done on the arguments; the left-hand object
is the one the operation is performed on, and it's up to the
function to deal with the right-hand object.
- Otherwise, in-place modification is not supported. Handle it exactly as
a non in-place operation of the same kind.
*/
#define HASINPLACE(t) \
PyType_HasFeature((t)->ob_type, Py_TPFLAGS_HAVE_INPLACEOPS)
static PyObject *
binary_iop1(PyObject *v, PyObject *w, const int iop_slot, const int op_slot)
{
PyNumberMethods *mv = v->ob_type->tp_as_number;
if (mv != NULL && HASINPLACE(v)) {
binaryfunc slot = NB_BINOP(mv, iop_slot);
if (slot) {
PyObject *x = (slot)(v, w);
if (x != Py_NotImplemented) {
return x;
}
Py_DECREF(x);
}
}
return binary_op1(v, w, op_slot);
}
static PyObject *
binary_iop(PyObject *v, PyObject *w, const int iop_slot, const int op_slot,
const char *op_name)
{
PyObject *result = binary_iop1(v, w, iop_slot, op_slot);
if (result == Py_NotImplemented) {
Py_DECREF(result);
return binop_type_error(v, w, op_name);
}
return result;
}
#define INPLACE_BINOP(func, iop, op, op_name) \
PyObject * \
func(PyObject *v, PyObject *w) { \
return binary_iop(v, w, NB_SLOT(iop), NB_SLOT(op), op_name); \
}
INPLACE_BINOP(PyNumber_InPlaceOr, nb_inplace_or, nb_or, "|=")
INPLACE_BINOP(PyNumber_InPlaceXor, nb_inplace_xor, nb_xor, "^=")
INPLACE_BINOP(PyNumber_InPlaceAnd, nb_inplace_and, nb_and, "&=")
INPLACE_BINOP(PyNumber_InPlaceLshift, nb_inplace_lshift, nb_lshift, "<<=")
INPLACE_BINOP(PyNumber_InPlaceRshift, nb_inplace_rshift, nb_rshift, ">>=")
INPLACE_BINOP(PyNumber_InPlaceSubtract, nb_inplace_subtract, nb_subtract, "-=")
INPLACE_BINOP(PyNumber_InPlaceDivide, nb_inplace_divide, nb_divide, "/=")
PyObject *
PyNumber_InPlaceFloorDivide(PyObject *v, PyObject *w)
{
/* XXX tp_flags test */
return binary_iop(v, w, NB_SLOT(nb_inplace_floor_divide),
NB_SLOT(nb_floor_divide), "//=");
}
PyObject *
PyNumber_InPlaceTrueDivide(PyObject *v, PyObject *w)
{
/* XXX tp_flags test */
return binary_iop(v, w, NB_SLOT(nb_inplace_true_divide),
NB_SLOT(nb_true_divide), "/=");
}
PyObject *
PyNumber_InPlaceAdd(PyObject *v, PyObject *w)
{
PyObject *result = binary_iop1(v, w, NB_SLOT(nb_inplace_add),
NB_SLOT(nb_add));
if (result == Py_NotImplemented) {
PySequenceMethods *m = v->ob_type->tp_as_sequence;
Py_DECREF(result);
if (m != NULL) {
binaryfunc f = NULL;
if (HASINPLACE(v))
f = m->sq_inplace_concat;
if (f == NULL)
f = m->sq_concat;
if (f != NULL)
return (*f)(v, w);
}
result = binop_type_error(v, w, "+=");
}
return result;
}
PyObject *
PyNumber_InPlaceMultiply(PyObject *v, PyObject *w)
{
PyObject *result = binary_iop1(v, w, NB_SLOT(nb_inplace_multiply),
NB_SLOT(nb_multiply));
if (result == Py_NotImplemented) {
intargfunc f = NULL;
PySequenceMethods *mv = v->ob_type->tp_as_sequence;
PySequenceMethods *mw = w->ob_type->tp_as_sequence;
Py_DECREF(result);
if (mv != NULL) {
if (HASINPLACE(v))
f = mv->sq_inplace_repeat;
if (f == NULL)
f = mv->sq_repeat;
if (f != NULL)
return sequence_repeat(f, v, w);
}
else if (mw != NULL) {
/* Note that the right hand operand should not be
* mutated in this case so sq_inplace_repeat is not
* used. */
if (mw->sq_repeat)
return sequence_repeat(mw->sq_repeat, w, v);
}
result = binop_type_error(v, w, "*=");
}
return result;
}
PyObject *
PyNumber_InPlaceRemainder(PyObject *v, PyObject *w)
{
return binary_iop(v, w, NB_SLOT(nb_inplace_remainder),
NB_SLOT(nb_remainder), "%=");
}
PyObject *
PyNumber_InPlacePower(PyObject *v, PyObject *w, PyObject *z)
{
if (HASINPLACE(v) && v->ob_type->tp_as_number &&
v->ob_type->tp_as_number->nb_inplace_power != NULL) {
return ternary_op(v, w, z, NB_SLOT(nb_inplace_power), "**=");
}
else {
return ternary_op(v, w, z, NB_SLOT(nb_power), "**=");
}
}
/* Unary operators and functions */
1995-07-18 11:12:02 -03:00
PyObject *
2000-07-09 01:06:11 -03:00
PyNumber_Negative(PyObject *o)
1995-07-18 11:12:02 -03:00
{
PyNumberMethods *m;
if (o == NULL)
return null_error();
m = o->ob_type->tp_as_number;
if (m && m->nb_negative)
return (*m->nb_negative)(o);
return type_error("bad operand type for unary -");
1995-07-18 11:12:02 -03:00
}
PyObject *
2000-07-09 01:06:11 -03:00
PyNumber_Positive(PyObject *o)
1995-07-18 11:12:02 -03:00
{
PyNumberMethods *m;
if (o == NULL)
return null_error();
m = o->ob_type->tp_as_number;
if (m && m->nb_positive)
return (*m->nb_positive)(o);
return type_error("bad operand type for unary +");
1995-07-18 11:12:02 -03:00
}
PyObject *
2000-07-09 01:06:11 -03:00
PyNumber_Invert(PyObject *o)
1995-07-18 11:12:02 -03:00
{
PyNumberMethods *m;
if (o == NULL)
return null_error();
m = o->ob_type->tp_as_number;
if (m && m->nb_invert)
return (*m->nb_invert)(o);
return type_error("bad operand type for unary ~");
1995-07-18 11:12:02 -03:00
}
PyObject *
2000-07-09 01:06:11 -03:00
PyNumber_Absolute(PyObject *o)
1995-07-18 11:12:02 -03:00
{
PyNumberMethods *m;
1995-07-18 11:12:02 -03:00
if (o == NULL)
return null_error();
m = o->ob_type->tp_as_number;
if (m && m->nb_absolute)
return m->nb_absolute(o);
1995-07-18 11:12:02 -03:00
return type_error("bad operand type for abs()");
1995-07-18 11:12:02 -03:00
}
Marc-Andre's third try at this bulk patch seems to work (except that his copy of test_contains.py seems to be broken -- the lines he deleted were already absent). Checkin messages: New Unicode support for int(), float(), complex() and long(). - new APIs PyInt_FromUnicode() and PyLong_FromUnicode() - added support for Unicode to PyFloat_FromString() - new encoding API PyUnicode_EncodeDecimal() which converts Unicode to a decimal char* string (used in the above new APIs) - shortcuts for calls like int(<int object>) and float(<float obj>) - tests for all of the above Unicode compares and contains checks: - comparing Unicode and non-string types now works; TypeErrors are masked, all other errors such as ValueError during Unicode coercion are passed through (note that PyUnicode_Compare does not implement the masking -- PyObject_Compare does this) - contains now works for non-string types too; TypeErrors are masked and 0 returned; all other errors are passed through Better testing support for the standard codecs. Misc minor enhancements, such as an alias dbcs for the mbcs codec. Changes: - PyLong_FromString() now applies the same error checks as does PyInt_FromString(): trailing garbage is reported as error and not longer silently ignored. The only characters which may be trailing the digits are 'L' and 'l' -- these are still silently ignored. - string.ato?() now directly interface to int(), long() and float(). The error strings are now a little different, but the type still remains the same. These functions are now ready to get declared obsolete ;-) - PyNumber_Int() now also does a check for embedded NULL chars in the input string; PyNumber_Long() already did this (and still does) Followed by: Looks like I've gone a step too far there... (and test_contains.py seem to have a bug too). I've changed back to reporting all errors in PyUnicode_Contains() and added a few more test cases to test_contains.py (plus corrected the join() NameError).
2000-04-05 17:11:21 -03:00
/* Add a check for embedded NULL-bytes in the argument. */
static PyObject *
2000-07-09 01:06:11 -03:00
int_from_string(const char *s, int len)
Marc-Andre's third try at this bulk patch seems to work (except that his copy of test_contains.py seems to be broken -- the lines he deleted were already absent). Checkin messages: New Unicode support for int(), float(), complex() and long(). - new APIs PyInt_FromUnicode() and PyLong_FromUnicode() - added support for Unicode to PyFloat_FromString() - new encoding API PyUnicode_EncodeDecimal() which converts Unicode to a decimal char* string (used in the above new APIs) - shortcuts for calls like int(<int object>) and float(<float obj>) - tests for all of the above Unicode compares and contains checks: - comparing Unicode and non-string types now works; TypeErrors are masked, all other errors such as ValueError during Unicode coercion are passed through (note that PyUnicode_Compare does not implement the masking -- PyObject_Compare does this) - contains now works for non-string types too; TypeErrors are masked and 0 returned; all other errors are passed through Better testing support for the standard codecs. Misc minor enhancements, such as an alias dbcs for the mbcs codec. Changes: - PyLong_FromString() now applies the same error checks as does PyInt_FromString(): trailing garbage is reported as error and not longer silently ignored. The only characters which may be trailing the digits are 'L' and 'l' -- these are still silently ignored. - string.ato?() now directly interface to int(), long() and float(). The error strings are now a little different, but the type still remains the same. These functions are now ready to get declared obsolete ;-) - PyNumber_Int() now also does a check for embedded NULL chars in the input string; PyNumber_Long() already did this (and still does) Followed by: Looks like I've gone a step too far there... (and test_contains.py seem to have a bug too). I've changed back to reporting all errors in PyUnicode_Contains() and added a few more test cases to test_contains.py (plus corrected the join() NameError).
2000-04-05 17:11:21 -03:00
{
char *end;
PyObject *x;
x = PyInt_FromString((char*)s, &end, 10);
if (x == NULL)
return NULL;
if (end != s + len) {
PyErr_SetString(PyExc_ValueError,
"null byte in argument for int()");
Py_DECREF(x);
return NULL;
}
return x;
}
1995-07-18 11:12:02 -03:00
PyObject *
2000-07-09 01:06:11 -03:00
PyNumber_Int(PyObject *o)
1995-07-18 11:12:02 -03:00
{
PyNumberMethods *m;
const char *buffer;
int buffer_len;
1995-07-18 11:12:02 -03:00
if (o == NULL)
return null_error();
if (PyInt_CheckExact(o)) {
Marc-Andre's third try at this bulk patch seems to work (except that his copy of test_contains.py seems to be broken -- the lines he deleted were already absent). Checkin messages: New Unicode support for int(), float(), complex() and long(). - new APIs PyInt_FromUnicode() and PyLong_FromUnicode() - added support for Unicode to PyFloat_FromString() - new encoding API PyUnicode_EncodeDecimal() which converts Unicode to a decimal char* string (used in the above new APIs) - shortcuts for calls like int(<int object>) and float(<float obj>) - tests for all of the above Unicode compares and contains checks: - comparing Unicode and non-string types now works; TypeErrors are masked, all other errors such as ValueError during Unicode coercion are passed through (note that PyUnicode_Compare does not implement the masking -- PyObject_Compare does this) - contains now works for non-string types too; TypeErrors are masked and 0 returned; all other errors are passed through Better testing support for the standard codecs. Misc minor enhancements, such as an alias dbcs for the mbcs codec. Changes: - PyLong_FromString() now applies the same error checks as does PyInt_FromString(): trailing garbage is reported as error and not longer silently ignored. The only characters which may be trailing the digits are 'L' and 'l' -- these are still silently ignored. - string.ato?() now directly interface to int(), long() and float(). The error strings are now a little different, but the type still remains the same. These functions are now ready to get declared obsolete ;-) - PyNumber_Int() now also does a check for embedded NULL chars in the input string; PyNumber_Long() already did this (and still does) Followed by: Looks like I've gone a step too far there... (and test_contains.py seem to have a bug too). I've changed back to reporting all errors in PyUnicode_Contains() and added a few more test cases to test_contains.py (plus corrected the join() NameError).
2000-04-05 17:11:21 -03:00
Py_INCREF(o);
return o;
}
m = o->ob_type->tp_as_number;
if (m && m->nb_int) { /* This should include subclasses of int */
PyObject *res = m->nb_int(o);
if (res && (!PyInt_Check(res) && !PyLong_Check(res))) {
PyErr_Format(PyExc_TypeError,
"__int__ returned non-int (type %.200s)",
res->ob_type->tp_name);
Py_DECREF(res);
return NULL;
}
return res;
}
if (PyInt_Check(o)) { /* A int subclass without nb_int */
PyIntObject *io = (PyIntObject*)o;
return PyInt_FromLong(io->ob_ival);
}
if (PyString_Check(o))
return int_from_string(PyString_AS_STRING(o),
Marc-Andre's third try at this bulk patch seems to work (except that his copy of test_contains.py seems to be broken -- the lines he deleted were already absent). Checkin messages: New Unicode support for int(), float(), complex() and long(). - new APIs PyInt_FromUnicode() and PyLong_FromUnicode() - added support for Unicode to PyFloat_FromString() - new encoding API PyUnicode_EncodeDecimal() which converts Unicode to a decimal char* string (used in the above new APIs) - shortcuts for calls like int(<int object>) and float(<float obj>) - tests for all of the above Unicode compares and contains checks: - comparing Unicode and non-string types now works; TypeErrors are masked, all other errors such as ValueError during Unicode coercion are passed through (note that PyUnicode_Compare does not implement the masking -- PyObject_Compare does this) - contains now works for non-string types too; TypeErrors are masked and 0 returned; all other errors are passed through Better testing support for the standard codecs. Misc minor enhancements, such as an alias dbcs for the mbcs codec. Changes: - PyLong_FromString() now applies the same error checks as does PyInt_FromString(): trailing garbage is reported as error and not longer silently ignored. The only characters which may be trailing the digits are 'L' and 'l' -- these are still silently ignored. - string.ato?() now directly interface to int(), long() and float(). The error strings are now a little different, but the type still remains the same. These functions are now ready to get declared obsolete ;-) - PyNumber_Int() now also does a check for embedded NULL chars in the input string; PyNumber_Long() already did this (and still does) Followed by: Looks like I've gone a step too far there... (and test_contains.py seem to have a bug too). I've changed back to reporting all errors in PyUnicode_Contains() and added a few more test cases to test_contains.py (plus corrected the join() NameError).
2000-04-05 17:11:21 -03:00
PyString_GET_SIZE(o));
#ifdef Py_USING_UNICODE
Marc-Andre's third try at this bulk patch seems to work (except that his copy of test_contains.py seems to be broken -- the lines he deleted were already absent). Checkin messages: New Unicode support for int(), float(), complex() and long(). - new APIs PyInt_FromUnicode() and PyLong_FromUnicode() - added support for Unicode to PyFloat_FromString() - new encoding API PyUnicode_EncodeDecimal() which converts Unicode to a decimal char* string (used in the above new APIs) - shortcuts for calls like int(<int object>) and float(<float obj>) - tests for all of the above Unicode compares and contains checks: - comparing Unicode and non-string types now works; TypeErrors are masked, all other errors such as ValueError during Unicode coercion are passed through (note that PyUnicode_Compare does not implement the masking -- PyObject_Compare does this) - contains now works for non-string types too; TypeErrors are masked and 0 returned; all other errors are passed through Better testing support for the standard codecs. Misc minor enhancements, such as an alias dbcs for the mbcs codec. Changes: - PyLong_FromString() now applies the same error checks as does PyInt_FromString(): trailing garbage is reported as error and not longer silently ignored. The only characters which may be trailing the digits are 'L' and 'l' -- these are still silently ignored. - string.ato?() now directly interface to int(), long() and float(). The error strings are now a little different, but the type still remains the same. These functions are now ready to get declared obsolete ;-) - PyNumber_Int() now also does a check for embedded NULL chars in the input string; PyNumber_Long() already did this (and still does) Followed by: Looks like I've gone a step too far there... (and test_contains.py seem to have a bug too). I've changed back to reporting all errors in PyUnicode_Contains() and added a few more test cases to test_contains.py (plus corrected the join() NameError).
2000-04-05 17:11:21 -03:00
if (PyUnicode_Check(o))
return PyInt_FromUnicode(PyUnicode_AS_UNICODE(o),
PyUnicode_GET_SIZE(o),
10);
#endif
if (!PyObject_AsCharBuffer(o, &buffer, &buffer_len))
Marc-Andre's third try at this bulk patch seems to work (except that his copy of test_contains.py seems to be broken -- the lines he deleted were already absent). Checkin messages: New Unicode support for int(), float(), complex() and long(). - new APIs PyInt_FromUnicode() and PyLong_FromUnicode() - added support for Unicode to PyFloat_FromString() - new encoding API PyUnicode_EncodeDecimal() which converts Unicode to a decimal char* string (used in the above new APIs) - shortcuts for calls like int(<int object>) and float(<float obj>) - tests for all of the above Unicode compares and contains checks: - comparing Unicode and non-string types now works; TypeErrors are masked, all other errors such as ValueError during Unicode coercion are passed through (note that PyUnicode_Compare does not implement the masking -- PyObject_Compare does this) - contains now works for non-string types too; TypeErrors are masked and 0 returned; all other errors are passed through Better testing support for the standard codecs. Misc minor enhancements, such as an alias dbcs for the mbcs codec. Changes: - PyLong_FromString() now applies the same error checks as does PyInt_FromString(): trailing garbage is reported as error and not longer silently ignored. The only characters which may be trailing the digits are 'L' and 'l' -- these are still silently ignored. - string.ato?() now directly interface to int(), long() and float(). The error strings are now a little different, but the type still remains the same. These functions are now ready to get declared obsolete ;-) - PyNumber_Int() now also does a check for embedded NULL chars in the input string; PyNumber_Long() already did this (and still does) Followed by: Looks like I've gone a step too far there... (and test_contains.py seem to have a bug too). I've changed back to reporting all errors in PyUnicode_Contains() and added a few more test cases to test_contains.py (plus corrected the join() NameError).
2000-04-05 17:11:21 -03:00
return int_from_string((char*)buffer, buffer_len);
1995-07-18 11:12:02 -03:00
return type_error("int() argument must be a string or a number");
1995-07-18 11:12:02 -03:00
}
Marc-Andre's third try at this bulk patch seems to work (except that his copy of test_contains.py seems to be broken -- the lines he deleted were already absent). Checkin messages: New Unicode support for int(), float(), complex() and long(). - new APIs PyInt_FromUnicode() and PyLong_FromUnicode() - added support for Unicode to PyFloat_FromString() - new encoding API PyUnicode_EncodeDecimal() which converts Unicode to a decimal char* string (used in the above new APIs) - shortcuts for calls like int(<int object>) and float(<float obj>) - tests for all of the above Unicode compares and contains checks: - comparing Unicode and non-string types now works; TypeErrors are masked, all other errors such as ValueError during Unicode coercion are passed through (note that PyUnicode_Compare does not implement the masking -- PyObject_Compare does this) - contains now works for non-string types too; TypeErrors are masked and 0 returned; all other errors are passed through Better testing support for the standard codecs. Misc minor enhancements, such as an alias dbcs for the mbcs codec. Changes: - PyLong_FromString() now applies the same error checks as does PyInt_FromString(): trailing garbage is reported as error and not longer silently ignored. The only characters which may be trailing the digits are 'L' and 'l' -- these are still silently ignored. - string.ato?() now directly interface to int(), long() and float(). The error strings are now a little different, but the type still remains the same. These functions are now ready to get declared obsolete ;-) - PyNumber_Int() now also does a check for embedded NULL chars in the input string; PyNumber_Long() already did this (and still does) Followed by: Looks like I've gone a step too far there... (and test_contains.py seem to have a bug too). I've changed back to reporting all errors in PyUnicode_Contains() and added a few more test cases to test_contains.py (plus corrected the join() NameError).
2000-04-05 17:11:21 -03:00
/* Add a check for embedded NULL-bytes in the argument. */
static PyObject *
2000-07-09 01:06:11 -03:00
long_from_string(const char *s, int len)
{
char *end;
PyObject *x;
x = PyLong_FromString((char*)s, &end, 10);
Marc-Andre's third try at this bulk patch seems to work (except that his copy of test_contains.py seems to be broken -- the lines he deleted were already absent). Checkin messages: New Unicode support for int(), float(), complex() and long(). - new APIs PyInt_FromUnicode() and PyLong_FromUnicode() - added support for Unicode to PyFloat_FromString() - new encoding API PyUnicode_EncodeDecimal() which converts Unicode to a decimal char* string (used in the above new APIs) - shortcuts for calls like int(<int object>) and float(<float obj>) - tests for all of the above Unicode compares and contains checks: - comparing Unicode and non-string types now works; TypeErrors are masked, all other errors such as ValueError during Unicode coercion are passed through (note that PyUnicode_Compare does not implement the masking -- PyObject_Compare does this) - contains now works for non-string types too; TypeErrors are masked and 0 returned; all other errors are passed through Better testing support for the standard codecs. Misc minor enhancements, such as an alias dbcs for the mbcs codec. Changes: - PyLong_FromString() now applies the same error checks as does PyInt_FromString(): trailing garbage is reported as error and not longer silently ignored. The only characters which may be trailing the digits are 'L' and 'l' -- these are still silently ignored. - string.ato?() now directly interface to int(), long() and float(). The error strings are now a little different, but the type still remains the same. These functions are now ready to get declared obsolete ;-) - PyNumber_Int() now also does a check for embedded NULL chars in the input string; PyNumber_Long() already did this (and still does) Followed by: Looks like I've gone a step too far there... (and test_contains.py seem to have a bug too). I've changed back to reporting all errors in PyUnicode_Contains() and added a few more test cases to test_contains.py (plus corrected the join() NameError).
2000-04-05 17:11:21 -03:00
if (x == NULL)
return NULL;
Marc-Andre's third try at this bulk patch seems to work (except that his copy of test_contains.py seems to be broken -- the lines he deleted were already absent). Checkin messages: New Unicode support for int(), float(), complex() and long(). - new APIs PyInt_FromUnicode() and PyLong_FromUnicode() - added support for Unicode to PyFloat_FromString() - new encoding API PyUnicode_EncodeDecimal() which converts Unicode to a decimal char* string (used in the above new APIs) - shortcuts for calls like int(<int object>) and float(<float obj>) - tests for all of the above Unicode compares and contains checks: - comparing Unicode and non-string types now works; TypeErrors are masked, all other errors such as ValueError during Unicode coercion are passed through (note that PyUnicode_Compare does not implement the masking -- PyObject_Compare does this) - contains now works for non-string types too; TypeErrors are masked and 0 returned; all other errors are passed through Better testing support for the standard codecs. Misc minor enhancements, such as an alias dbcs for the mbcs codec. Changes: - PyLong_FromString() now applies the same error checks as does PyInt_FromString(): trailing garbage is reported as error and not longer silently ignored. The only characters which may be trailing the digits are 'L' and 'l' -- these are still silently ignored. - string.ato?() now directly interface to int(), long() and float(). The error strings are now a little different, but the type still remains the same. These functions are now ready to get declared obsolete ;-) - PyNumber_Int() now also does a check for embedded NULL chars in the input string; PyNumber_Long() already did this (and still does) Followed by: Looks like I've gone a step too far there... (and test_contains.py seem to have a bug too). I've changed back to reporting all errors in PyUnicode_Contains() and added a few more test cases to test_contains.py (plus corrected the join() NameError).
2000-04-05 17:11:21 -03:00
if (end != s + len) {
PyErr_SetString(PyExc_ValueError,
"null byte in argument for long()");
Marc-Andre's third try at this bulk patch seems to work (except that his copy of test_contains.py seems to be broken -- the lines he deleted were already absent). Checkin messages: New Unicode support for int(), float(), complex() and long(). - new APIs PyInt_FromUnicode() and PyLong_FromUnicode() - added support for Unicode to PyFloat_FromString() - new encoding API PyUnicode_EncodeDecimal() which converts Unicode to a decimal char* string (used in the above new APIs) - shortcuts for calls like int(<int object>) and float(<float obj>) - tests for all of the above Unicode compares and contains checks: - comparing Unicode and non-string types now works; TypeErrors are masked, all other errors such as ValueError during Unicode coercion are passed through (note that PyUnicode_Compare does not implement the masking -- PyObject_Compare does this) - contains now works for non-string types too; TypeErrors are masked and 0 returned; all other errors are passed through Better testing support for the standard codecs. Misc minor enhancements, such as an alias dbcs for the mbcs codec. Changes: - PyLong_FromString() now applies the same error checks as does PyInt_FromString(): trailing garbage is reported as error and not longer silently ignored. The only characters which may be trailing the digits are 'L' and 'l' -- these are still silently ignored. - string.ato?() now directly interface to int(), long() and float(). The error strings are now a little different, but the type still remains the same. These functions are now ready to get declared obsolete ;-) - PyNumber_Int() now also does a check for embedded NULL chars in the input string; PyNumber_Long() already did this (and still does) Followed by: Looks like I've gone a step too far there... (and test_contains.py seem to have a bug too). I've changed back to reporting all errors in PyUnicode_Contains() and added a few more test cases to test_contains.py (plus corrected the join() NameError).
2000-04-05 17:11:21 -03:00
Py_DECREF(x);
return NULL;
}
return x;
}
1995-07-18 11:12:02 -03:00
PyObject *
2000-07-09 01:06:11 -03:00
PyNumber_Long(PyObject *o)
1995-07-18 11:12:02 -03:00
{
PyNumberMethods *m;
const char *buffer;
int buffer_len;
1995-07-18 11:12:02 -03:00
if (o == NULL)
return null_error();
m = o->ob_type->tp_as_number;
if (m && m->nb_long) { /* This should include subclasses of long */
PyObject *res = m->nb_long(o);
if (res && (!PyInt_Check(res) && !PyLong_Check(res))) {
PyErr_Format(PyExc_TypeError,
"__long__ returned non-long (type %.200s)",
res->ob_type->tp_name);
Py_DECREF(res);
return NULL;
}
return res;
Marc-Andre's third try at this bulk patch seems to work (except that his copy of test_contains.py seems to be broken -- the lines he deleted were already absent). Checkin messages: New Unicode support for int(), float(), complex() and long(). - new APIs PyInt_FromUnicode() and PyLong_FromUnicode() - added support for Unicode to PyFloat_FromString() - new encoding API PyUnicode_EncodeDecimal() which converts Unicode to a decimal char* string (used in the above new APIs) - shortcuts for calls like int(<int object>) and float(<float obj>) - tests for all of the above Unicode compares and contains checks: - comparing Unicode and non-string types now works; TypeErrors are masked, all other errors such as ValueError during Unicode coercion are passed through (note that PyUnicode_Compare does not implement the masking -- PyObject_Compare does this) - contains now works for non-string types too; TypeErrors are masked and 0 returned; all other errors are passed through Better testing support for the standard codecs. Misc minor enhancements, such as an alias dbcs for the mbcs codec. Changes: - PyLong_FromString() now applies the same error checks as does PyInt_FromString(): trailing garbage is reported as error and not longer silently ignored. The only characters which may be trailing the digits are 'L' and 'l' -- these are still silently ignored. - string.ato?() now directly interface to int(), long() and float(). The error strings are now a little different, but the type still remains the same. These functions are now ready to get declared obsolete ;-) - PyNumber_Int() now also does a check for embedded NULL chars in the input string; PyNumber_Long() already did this (and still does) Followed by: Looks like I've gone a step too far there... (and test_contains.py seem to have a bug too). I've changed back to reporting all errors in PyUnicode_Contains() and added a few more test cases to test_contains.py (plus corrected the join() NameError).
2000-04-05 17:11:21 -03:00
}
if (PyLong_Check(o)) /* A long subclass without nb_long */
return _PyLong_Copy((PyLongObject *)o);
if (PyString_Check(o))
/* need to do extra error checking that PyLong_FromString()
* doesn't do. In particular long('9.5') must raise an
* exception, not truncate the float.
*/
return long_from_string(PyString_AS_STRING(o),
PyString_GET_SIZE(o));
#ifdef Py_USING_UNICODE
Marc-Andre's third try at this bulk patch seems to work (except that his copy of test_contains.py seems to be broken -- the lines he deleted were already absent). Checkin messages: New Unicode support for int(), float(), complex() and long(). - new APIs PyInt_FromUnicode() and PyLong_FromUnicode() - added support for Unicode to PyFloat_FromString() - new encoding API PyUnicode_EncodeDecimal() which converts Unicode to a decimal char* string (used in the above new APIs) - shortcuts for calls like int(<int object>) and float(<float obj>) - tests for all of the above Unicode compares and contains checks: - comparing Unicode and non-string types now works; TypeErrors are masked, all other errors such as ValueError during Unicode coercion are passed through (note that PyUnicode_Compare does not implement the masking -- PyObject_Compare does this) - contains now works for non-string types too; TypeErrors are masked and 0 returned; all other errors are passed through Better testing support for the standard codecs. Misc minor enhancements, such as an alias dbcs for the mbcs codec. Changes: - PyLong_FromString() now applies the same error checks as does PyInt_FromString(): trailing garbage is reported as error and not longer silently ignored. The only characters which may be trailing the digits are 'L' and 'l' -- these are still silently ignored. - string.ato?() now directly interface to int(), long() and float(). The error strings are now a little different, but the type still remains the same. These functions are now ready to get declared obsolete ;-) - PyNumber_Int() now also does a check for embedded NULL chars in the input string; PyNumber_Long() already did this (and still does) Followed by: Looks like I've gone a step too far there... (and test_contains.py seem to have a bug too). I've changed back to reporting all errors in PyUnicode_Contains() and added a few more test cases to test_contains.py (plus corrected the join() NameError).
2000-04-05 17:11:21 -03:00
if (PyUnicode_Check(o))
/* The above check is done in PyLong_FromUnicode(). */
return PyLong_FromUnicode(PyUnicode_AS_UNICODE(o),
PyUnicode_GET_SIZE(o),
10);
#endif
if (!PyObject_AsCharBuffer(o, &buffer, &buffer_len))
return long_from_string(buffer, buffer_len);
1995-07-18 11:12:02 -03:00
return type_error("long() argument must be a string or a number");
1995-07-18 11:12:02 -03:00
}
PyObject *
2000-07-09 01:06:11 -03:00
PyNumber_Float(PyObject *o)
1995-07-18 11:12:02 -03:00
{
PyNumberMethods *m;
1995-07-18 11:12:02 -03:00
if (o == NULL)
return null_error();
m = o->ob_type->tp_as_number;
if (m && m->nb_float) { /* This should include subclasses of float */
PyObject *res = m->nb_float(o);
if (res && !PyFloat_Check(res)) {
PyErr_Format(PyExc_TypeError,
"__float__ returned non-float (type %.200s)",
res->ob_type->tp_name);
Py_DECREF(res);
return NULL;
}
return res;
Marc-Andre's third try at this bulk patch seems to work (except that his copy of test_contains.py seems to be broken -- the lines he deleted were already absent). Checkin messages: New Unicode support for int(), float(), complex() and long(). - new APIs PyInt_FromUnicode() and PyLong_FromUnicode() - added support for Unicode to PyFloat_FromString() - new encoding API PyUnicode_EncodeDecimal() which converts Unicode to a decimal char* string (used in the above new APIs) - shortcuts for calls like int(<int object>) and float(<float obj>) - tests for all of the above Unicode compares and contains checks: - comparing Unicode and non-string types now works; TypeErrors are masked, all other errors such as ValueError during Unicode coercion are passed through (note that PyUnicode_Compare does not implement the masking -- PyObject_Compare does this) - contains now works for non-string types too; TypeErrors are masked and 0 returned; all other errors are passed through Better testing support for the standard codecs. Misc minor enhancements, such as an alias dbcs for the mbcs codec. Changes: - PyLong_FromString() now applies the same error checks as does PyInt_FromString(): trailing garbage is reported as error and not longer silently ignored. The only characters which may be trailing the digits are 'L' and 'l' -- these are still silently ignored. - string.ato?() now directly interface to int(), long() and float(). The error strings are now a little different, but the type still remains the same. These functions are now ready to get declared obsolete ;-) - PyNumber_Int() now also does a check for embedded NULL chars in the input string; PyNumber_Long() already did this (and still does) Followed by: Looks like I've gone a step too far there... (and test_contains.py seem to have a bug too). I've changed back to reporting all errors in PyUnicode_Contains() and added a few more test cases to test_contains.py (plus corrected the join() NameError).
2000-04-05 17:11:21 -03:00
}
if (PyFloat_Check(o)) { /* A float subclass with nb_float == NULL */
PyFloatObject *po = (PyFloatObject *)o;
return PyFloat_FromDouble(po->ob_fval);
}
return PyFloat_FromString(o, NULL);
1995-07-18 11:12:02 -03:00
}
/* Operations on sequences */
1995-07-18 11:12:02 -03:00
int
2000-07-09 01:06:11 -03:00
PySequence_Check(PyObject *s)
1995-07-18 11:12:02 -03:00
{
if (s && PyInstance_Check(s))
return PyObject_HasAttrString(s, "__getitem__");
return s != NULL && s->ob_type->tp_as_sequence &&
s->ob_type->tp_as_sequence->sq_item != NULL;
1995-07-18 11:12:02 -03:00
}
int
PySequence_Size(PyObject *s)
1995-07-18 11:12:02 -03:00
{
PySequenceMethods *m;
1995-07-18 11:12:02 -03:00
if (s == NULL) {
null_error();
return -1;
}
1995-07-18 11:12:02 -03:00
m = s->ob_type->tp_as_sequence;
if (m && m->sq_length)
return m->sq_length(s);
1995-07-18 11:12:02 -03:00
type_error("len() of unsized object");
return -1;
1995-07-18 11:12:02 -03:00
}
#undef PySequence_Length
int
PySequence_Length(PyObject *s)
{
return PySequence_Size(s);
}
#define PySequence_Length PySequence_Size
1995-07-18 11:12:02 -03:00
PyObject *
2000-07-09 01:06:11 -03:00
PySequence_Concat(PyObject *s, PyObject *o)
1995-07-18 11:12:02 -03:00
{
PySequenceMethods *m;
if (s == NULL || o == NULL)
return null_error();
1995-07-18 11:12:02 -03:00
m = s->ob_type->tp_as_sequence;
if (m && m->sq_concat)
return m->sq_concat(s, o);
1995-07-18 11:12:02 -03:00
return type_error("object can't be concatenated");
1995-07-18 11:12:02 -03:00
}
PyObject *
2000-07-09 01:06:11 -03:00
PySequence_Repeat(PyObject *o, int count)
1995-07-18 11:12:02 -03:00
{
PySequenceMethods *m;
1995-07-18 11:12:02 -03:00
if (o == NULL)
return null_error();
1995-07-18 11:12:02 -03:00
m = o->ob_type->tp_as_sequence;
if (m && m->sq_repeat)
return m->sq_repeat(o, count);
return type_error("object can't be repeated");
1995-07-18 11:12:02 -03:00
}
PyObject *
PySequence_InPlaceConcat(PyObject *s, PyObject *o)
{
PySequenceMethods *m;
if (s == NULL || o == NULL)
return null_error();
m = s->ob_type->tp_as_sequence;
if (m && HASINPLACE(s) && m->sq_inplace_concat)
return m->sq_inplace_concat(s, o);
if (m && m->sq_concat)
return m->sq_concat(s, o);
return type_error("object can't be concatenated");
}
PyObject *
PySequence_InPlaceRepeat(PyObject *o, int count)
{
PySequenceMethods *m;
if (o == NULL)
return null_error();
m = o->ob_type->tp_as_sequence;
if (m && HASINPLACE(o) && m->sq_inplace_repeat)
return m->sq_inplace_repeat(o, count);
if (m && m->sq_repeat)
return m->sq_repeat(o, count);
return type_error("object can't be repeated");
}
1995-07-18 11:12:02 -03:00
PyObject *
2000-07-09 01:06:11 -03:00
PySequence_GetItem(PyObject *s, int i)
1995-07-18 11:12:02 -03:00
{
PySequenceMethods *m;
if (s == NULL)
return null_error();
m = s->ob_type->tp_as_sequence;
if (m && m->sq_item) {
if (i < 0) {
if (m->sq_length) {
int l = (*m->sq_length)(s);
if (l < 0)
return NULL;
i += l;
}
}
return m->sq_item(s, i);
}
1995-07-18 11:12:02 -03:00
return type_error("unindexable object");
1995-07-18 11:12:02 -03:00
}
static PyObject *
sliceobj_from_intint(int i, int j)
{
PyObject *start, *end, *slice;
start = PyInt_FromLong((long)i);
if (!start)
return NULL;
end = PyInt_FromLong((long)j);
if (!end) {
Py_DECREF(start);
return NULL;
}
slice = PySlice_New(start, end, NULL);
Py_DECREF(start);
Py_DECREF(end);
return slice;
}
1995-07-18 11:12:02 -03:00
PyObject *
2000-07-09 01:06:11 -03:00
PySequence_GetSlice(PyObject *s, int i1, int i2)
1995-07-18 11:12:02 -03:00
{
PySequenceMethods *m;
PyMappingMethods *mp;
if (!s) return null_error();
m = s->ob_type->tp_as_sequence;
if (m && m->sq_slice) {
if (i1 < 0 || i2 < 0) {
if (m->sq_length) {
int l = (*m->sq_length)(s);
if (l < 0)
return NULL;
if (i1 < 0)
i1 += l;
if (i2 < 0)
i2 += l;
}
}
return m->sq_slice(s, i1, i2);
} else if ((mp = s->ob_type->tp_as_mapping) && mp->mp_subscript) {
PyObject *res;
PyObject *slice = sliceobj_from_intint(i1, i2);
if (!slice)
return NULL;
res = mp->mp_subscript(s, slice);
Py_DECREF(slice);
return res;
}
1997-04-02 01:31:09 -04:00
return type_error("unsliceable object");
1995-07-18 11:12:02 -03:00
}
int
2000-07-09 01:06:11 -03:00
PySequence_SetItem(PyObject *s, int i, PyObject *o)
1995-07-18 11:12:02 -03:00
{
PySequenceMethods *m;
if (s == NULL) {
null_error();
return -1;
}
m = s->ob_type->tp_as_sequence;
if (m && m->sq_ass_item) {
if (i < 0) {
if (m->sq_length) {
int l = (*m->sq_length)(s);
if (l < 0)
return -1;
i += l;
}
}
return m->sq_ass_item(s, i, o);
}
type_error("object does not support item assignment");
return -1;
1995-07-18 11:12:02 -03:00
}
int
2000-07-09 01:06:11 -03:00
PySequence_DelItem(PyObject *s, int i)
{
PySequenceMethods *m;
if (s == NULL) {
null_error();
return -1;
}
m = s->ob_type->tp_as_sequence;
if (m && m->sq_ass_item) {
if (i < 0) {
if (m->sq_length) {
int l = (*m->sq_length)(s);
if (l < 0)
return -1;
i += l;
}
}
return m->sq_ass_item(s, i, (PyObject *)NULL);
}
type_error("object doesn't support item deletion");
return -1;
}
int
2000-07-09 01:06:11 -03:00
PySequence_SetSlice(PyObject *s, int i1, int i2, PyObject *o)
1995-07-18 11:12:02 -03:00
{
PySequenceMethods *m;
PyMappingMethods *mp;
1995-07-18 11:12:02 -03:00
if (s == NULL) {
null_error();
return -1;
}
1995-07-18 11:12:02 -03:00
m = s->ob_type->tp_as_sequence;
if (m && m->sq_ass_slice) {
if (i1 < 0 || i2 < 0) {
if (m->sq_length) {
int l = (*m->sq_length)(s);
if (l < 0)
return -1;
if (i1 < 0)
i1 += l;
if (i2 < 0)
i2 += l;
}
}
return m->sq_ass_slice(s, i1, i2, o);
} else if ((mp = s->ob_type->tp_as_mapping) && mp->mp_ass_subscript) {
int res;
PyObject *slice = sliceobj_from_intint(i1, i2);
if (!slice)
return -1;
res = mp->mp_ass_subscript(s, slice, o);
Py_DECREF(slice);
return res;
}
type_error("object doesn't support slice assignment");
return -1;
1995-07-18 11:12:02 -03:00
}
int
2000-07-09 01:06:11 -03:00
PySequence_DelSlice(PyObject *s, int i1, int i2)
{
PySequenceMethods *m;
if (s == NULL) {
null_error();
return -1;
}
m = s->ob_type->tp_as_sequence;
if (m && m->sq_ass_slice) {
if (i1 < 0 || i2 < 0) {
if (m->sq_length) {
int l = (*m->sq_length)(s);
if (l < 0)
return -1;
if (i1 < 0)
i1 += l;
if (i2 < 0)
i2 += l;
}
}
return m->sq_ass_slice(s, i1, i2, (PyObject *)NULL);
}
type_error("object doesn't support slice deletion");
return -1;
}
1995-07-18 11:12:02 -03:00
PyObject *
2000-07-09 01:06:11 -03:00
PySequence_Tuple(PyObject *v)
1995-07-18 11:12:02 -03:00
{
PyObject *it; /* iter(v) */
int n; /* guess for result tuple size */
PyObject *result;
int j;
1995-07-18 11:12:02 -03:00
if (v == NULL)
return null_error();
1995-07-18 11:12:02 -03:00
/* Special-case the common tuple and list cases, for efficiency. */
if (PyTuple_CheckExact(v)) {
/* Note that we can't know whether it's safe to return
a tuple *subclass* instance as-is, hence the restriction
to exact tuples here. In contrast, lists always make
a copy, so there's no need for exactness below. */
Py_INCREF(v);
return v;
}
if (PyList_Check(v))
return PyList_AsTuple(v);
/* Get iterator. */
it = PyObject_GetIter(v);
if (it == NULL)
Generalize dictionary() to accept a sequence of 2-sequences. At the outer level, the iterator protocol is used for memory-efficiency (the outer sequence may be very large if fully materialized); at the inner level, PySequence_Fast() is used for time-efficiency (these should always be sequences of length 2). dictobject.c, new functions PyDict_{Merge,Update}FromSeq2. These are wholly analogous to PyDict_{Merge,Update}, but process a sequence-of-2- sequences argument instead of a mapping object. For now, I left these functions file static, so no corresponding doc changes. It's tempting to change dict.update() to allow a sequence-of-2-seqs argument too. Also changed the name of dictionary's keyword argument from "mapping" to "x". Got a better name? "mapping_or_sequence_of_pairs" isn't attractive, although more so than "mosop" <wink>. abstract.h, abstract.tex: Added new PySequence_Fast_GET_SIZE function, much faster than going thru the all-purpose PySequence_Size. libfuncs.tex: - Document dictionary(). - Fiddle tuple() and list() to admit that their argument is optional. - The long-winded repetitions of "a sequence, a container that supports iteration, or an iterator object" is getting to be a PITA. Many months ago I suggested factoring this out into "iterable object", where the definition of that could include being explicit about generators too (as is, I'm not sure a reader outside of PythonLabs could guess that "an iterator object" includes a generator call). - Please check my curly braces -- I'm going blind <0.9 wink>. abstract.c, PySequence_Tuple(): When PyObject_GetIter() fails, leave its error msg alone now (the msg it produces has improved since PySequence_Tuple was generalized to accept iterable objects, and PySequence_Tuple was also stomping on the msg in cases it shouldn't have even before PyObject_GetIter grew a better msg).
2001-10-26 02:06:50 -03:00
return NULL;
1995-07-18 11:12:02 -03:00
/* Guess result size and allocate space. */
n = _PyObject_LengthCue(v);
if (n < 0) {
if (!PyErr_ExceptionMatches(PyExc_TypeError) &&
!PyErr_ExceptionMatches(PyExc_AttributeError)) {
Py_DECREF(it);
return NULL;
}
PyErr_Clear();
n = 10; /* arbitrary */
}
result = PyTuple_New(n);
if (result == NULL)
goto Fail;
/* Fill the tuple. */
for (j = 0; ; ++j) {
PyObject *item = PyIter_Next(it);
if (item == NULL) {
if (PyErr_Occurred())
goto Fail;
break;
}
if (j >= n) {
int oldn = n;
/* The over-allocation strategy can grow a bit faster
than for lists because unlike lists the
over-allocation isn't permanent -- we reclaim
the excess before the end of this routine.
So, grow by ten and then add 25%.
*/
n += 10;
n += n >> 2;
if (n < oldn) {
/* Check for overflow */
PyErr_NoMemory();
2004-12-16 11:10:21 -04:00
Py_DECREF(item);
goto Fail;
}
if (_PyTuple_Resize(&result, n) != 0) {
Py_DECREF(item);
goto Fail;
}
}
PyTuple_SET_ITEM(result, j, item);
1995-07-18 11:12:02 -03:00
}
/* Cut tuple back if guess was too large. */
if (j < n &&
_PyTuple_Resize(&result, j) != 0)
goto Fail;
Py_DECREF(it);
return result;
Fail:
Py_XDECREF(result);
Py_DECREF(it);
return NULL;
1995-07-18 11:12:02 -03:00
}
PyObject *
2000-07-09 01:06:11 -03:00
PySequence_List(PyObject *v)
{
PyObject *result; /* result list */
PyObject *rv; /* return value from PyList_Extend */
if (v == NULL)
return null_error();
result = PyList_New(0);
if (result == NULL)
return NULL;
rv = _PyList_Extend((PyListObject *)result, v);
if (rv == NULL) {
Py_DECREF(result);
return NULL;
}
2004-03-17 01:24:23 -04:00
Py_DECREF(rv);
return result;
}
1997-04-02 01:31:09 -04:00
PyObject *
2000-07-09 01:06:11 -03:00
PySequence_Fast(PyObject *v, const char *m)
{
PyObject *it;
if (v == NULL)
return null_error();
if (PyList_CheckExact(v) || PyTuple_CheckExact(v)) {
Py_INCREF(v);
return v;
}
it = PyObject_GetIter(v);
if (it == NULL) {
if (PyErr_ExceptionMatches(PyExc_TypeError))
return type_error(m);
return NULL;
}
v = PySequence_List(it);
Py_DECREF(it);
return v;
}
/* Iterate over seq. Result depends on the operation:
PY_ITERSEARCH_COUNT: -1 if error, else # of times obj appears in seq.
PY_ITERSEARCH_INDEX: 0-based index of first occurence of obj in seq;
set ValueError and return -1 if none found; also return -1 on error.
Py_ITERSEARCH_CONTAINS: return 1 if obj in seq, else 0; -1 on error.
*/
int
_PySequence_IterSearch(PyObject *seq, PyObject *obj, int operation)
{
int n;
int wrapped; /* for PY_ITERSEARCH_INDEX, true iff n wrapped around */
PyObject *it; /* iter(seq) */
1997-04-02 01:31:09 -04:00
if (seq == NULL || obj == NULL) {
null_error();
return -1;
}
it = PyObject_GetIter(seq);
if (it == NULL) {
type_error("iterable argument required");
return -1;
}
n = wrapped = 0;
for (;;) {
int cmp;
PyObject *item = PyIter_Next(it);
if (item == NULL) {
if (PyErr_Occurred())
goto Fail;
break;
}
cmp = PyObject_RichCompareBool(obj, item, Py_EQ);
Py_DECREF(item);
if (cmp < 0)
goto Fail;
if (cmp > 0) {
switch (operation) {
case PY_ITERSEARCH_COUNT:
++n;
if (n <= 0) {
PyErr_SetString(PyExc_OverflowError,
"count exceeds C int size");
goto Fail;
}
break;
case PY_ITERSEARCH_INDEX:
if (wrapped) {
PyErr_SetString(PyExc_OverflowError,
"index exceeds C int size");
goto Fail;
}
goto Done;
case PY_ITERSEARCH_CONTAINS:
n = 1;
goto Done;
default:
assert(!"unknown operation");
}
}
if (operation == PY_ITERSEARCH_INDEX) {
++n;
if (n <= 0)
wrapped = 1;
}
1997-04-02 01:31:09 -04:00
}
if (operation != PY_ITERSEARCH_INDEX)
goto Done;
PyErr_SetString(PyExc_ValueError,
"sequence.index(x): x not in sequence");
/* fall into failure code */
Fail:
n = -1;
/* fall through */
Done:
Py_DECREF(it);
return n;
}
/* Return # of times o appears in s. */
int
PySequence_Count(PyObject *s, PyObject *o)
1995-07-18 11:12:02 -03:00
{
return _PySequence_IterSearch(s, o, PY_ITERSEARCH_COUNT);
1995-07-18 11:12:02 -03:00
}
/* Return -1 if error; 1 if ob in seq; 0 if ob not in seq.
* Use sq_contains if possible, else defer to _PySequence_IterSearch().
*/
int
PySequence_Contains(PyObject *seq, PyObject *ob)
{
if (PyType_HasFeature(seq->ob_type, Py_TPFLAGS_HAVE_SEQUENCE_IN)) {
PySequenceMethods *sqm = seq->ob_type->tp_as_sequence;
if (sqm != NULL && sqm->sq_contains != NULL)
return (*sqm->sq_contains)(seq, ob);
}
return _PySequence_IterSearch(seq, ob, PY_ITERSEARCH_CONTAINS);
}
/* Backwards compatibility */
#undef PySequence_In
int
2000-07-09 01:06:11 -03:00
PySequence_In(PyObject *w, PyObject *v)
1995-07-18 11:12:02 -03:00
{
return PySequence_Contains(w, v);
1995-07-18 11:12:02 -03:00
}
int
2000-07-09 01:06:11 -03:00
PySequence_Index(PyObject *s, PyObject *o)
1995-07-18 11:12:02 -03:00
{
return _PySequence_IterSearch(s, o, PY_ITERSEARCH_INDEX);
1995-07-18 11:12:02 -03:00
}
/* Operations on mappings */
int
2000-07-09 01:06:11 -03:00
PyMapping_Check(PyObject *o)
1995-07-18 11:12:02 -03:00
{
if (o && PyInstance_Check(o))
return PyObject_HasAttrString(o, "__getitem__");
return o && o->ob_type->tp_as_mapping &&
o->ob_type->tp_as_mapping->mp_subscript &&
!(o->ob_type->tp_as_sequence &&
o->ob_type->tp_as_sequence->sq_slice);
1995-07-18 11:12:02 -03:00
}
int
PyMapping_Size(PyObject *o)
1995-07-18 11:12:02 -03:00
{
PyMappingMethods *m;
1995-07-18 11:12:02 -03:00
if (o == NULL) {
null_error();
return -1;
}
1995-07-18 11:12:02 -03:00
m = o->ob_type->tp_as_mapping;
if (m && m->mp_length)
return m->mp_length(o);
1995-07-18 11:12:02 -03:00
type_error("len() of unsized object");
return -1;
1995-07-18 11:12:02 -03:00
}
#undef PyMapping_Length
int
PyMapping_Length(PyObject *o)
{
return PyMapping_Size(o);
}
#define PyMapping_Length PyMapping_Size
PyObject *
2000-07-09 01:06:11 -03:00
PyMapping_GetItemString(PyObject *o, char *key)
{
PyObject *okey, *r;
if (key == NULL)
return null_error();
okey = PyString_FromString(key);
if (okey == NULL)
return NULL;
r = PyObject_GetItem(o, okey);
Py_DECREF(okey);
return r;
}
int
2000-07-09 01:06:11 -03:00
PyMapping_SetItemString(PyObject *o, char *key, PyObject *value)
{
PyObject *okey;
int r;
if (key == NULL) {
null_error();
return -1;
}
okey = PyString_FromString(key);
if (okey == NULL)
return -1;
r = PyObject_SetItem(o, okey, value);
Py_DECREF(okey);
return r;
}
int
2000-07-09 01:06:11 -03:00
PyMapping_HasKeyString(PyObject *o, char *key)
1995-07-18 11:12:02 -03:00
{
PyObject *v;
v = PyMapping_GetItemString(o, key);
if (v) {
Py_DECREF(v);
return 1;
}
PyErr_Clear();
return 0;
1995-07-18 11:12:02 -03:00
}
int
2000-07-09 01:06:11 -03:00
PyMapping_HasKey(PyObject *o, PyObject *key)
1995-07-18 11:12:02 -03:00
{
PyObject *v;
v = PyObject_GetItem(o, key);
if (v) {
Py_DECREF(v);
return 1;
}
PyErr_Clear();
return 0;
1995-07-18 11:12:02 -03:00
}
/* Operations on callable objects */
/* XXX PyCallable_Check() is in object.c */
1995-07-18 11:12:02 -03:00
PyObject *
2000-07-09 01:06:11 -03:00
PyObject_CallObject(PyObject *o, PyObject *a)
1995-07-18 11:12:02 -03:00
{
return PyEval_CallObjectWithKeywords(o, a, NULL);
}
1995-07-18 11:12:02 -03:00
2001-08-02 01:15:00 -03:00
PyObject *
PyObject_Call(PyObject *func, PyObject *arg, PyObject *kw)
{
ternaryfunc call;
if ((call = func->ob_type->tp_call) != NULL) {
PyObject *result = (*call)(func, arg, kw);
if (result == NULL && !PyErr_Occurred())
PyErr_SetString(
PyExc_SystemError,
"NULL result without error in PyObject_Call");
return result;
}
PyErr_Format(PyExc_TypeError, "'%s' object is not callable",
func->ob_type->tp_name);
2001-08-02 01:15:00 -03:00
return NULL;
}
1995-07-18 11:12:02 -03:00
PyObject *
PyObject_CallFunction(PyObject *callable, char *format, ...)
1995-07-18 11:12:02 -03:00
{
va_list va;
PyObject *args, *retval;
1995-07-18 11:12:02 -03:00
if (callable == NULL)
return null_error();
if (format && *format) {
va_start(va, format);
args = Py_VaBuildValue(format, va);
va_end(va);
}
else
args = PyTuple_New(0);
if (args == NULL)
return NULL;
if (!PyTuple_Check(args)) {
PyObject *a;
a = PyTuple_New(1);
if (a == NULL)
return NULL;
if (PyTuple_SetItem(a, 0, args) < 0)
return NULL;
args = a;
}
retval = PyObject_Call(callable, args, NULL);
Py_DECREF(args);
return retval;
1995-07-18 11:12:02 -03:00
}
PyObject *
PyObject_CallMethod(PyObject *o, char *name, char *format, ...)
{
va_list va;
PyObject *args = NULL;
PyObject *func = NULL;
PyObject *retval = NULL;
1995-07-18 11:12:02 -03:00
if (o == NULL || name == NULL)
return null_error();
1995-07-18 11:12:02 -03:00
func = PyObject_GetAttrString(o, name);
if (func == NULL) {
PyErr_SetString(PyExc_AttributeError, name);
return 0;
}
1995-07-18 11:12:02 -03:00
if (!PyCallable_Check(func)) {
type_error("call of non-callable attribute");
goto exit;
}
1995-07-18 11:12:02 -03:00
if (format && *format) {
va_start(va, format);
args = Py_VaBuildValue(format, va);
va_end(va);
}
else
args = PyTuple_New(0);
if (!args)
goto exit;
if (!PyTuple_Check(args)) {
PyObject *a;
a = PyTuple_New(1);
if (a == NULL)
goto exit;
if (PyTuple_SetItem(a, 0, args) < 0)
goto exit;
args = a;
}
retval = PyObject_Call(func, args, NULL);
exit:
Py_XDECREF(args);
Py_XDECREF(func);
return retval;
1995-07-18 11:12:02 -03:00
}
static PyObject *
objargs_mktuple(va_list va)
{
int i, n = 0;
va_list countva;
PyObject *result, *tmp;
#ifdef VA_LIST_IS_ARRAY
memcpy(countva, va, sizeof(va_list));
#else
#ifdef __va_copy
__va_copy(countva, va);
#else
countva = va;
#endif
#endif
while (((PyObject *)va_arg(countva, PyObject *)) != NULL)
++n;
result = PyTuple_New(n);
if (result != NULL && n > 0) {
for (i = 0; i < n; ++i) {
tmp = (PyObject *)va_arg(va, PyObject *);
PyTuple_SET_ITEM(result, i, tmp);
Py_INCREF(tmp);
}
}
return result;
}
PyObject *
PyObject_CallMethodObjArgs(PyObject *callable, PyObject *name, ...)
{
PyObject *args, *tmp;
va_list vargs;
if (callable == NULL || name == NULL)
return null_error();
callable = PyObject_GetAttr(callable, name);
if (callable == NULL)
return NULL;
/* count the args */
va_start(vargs, name);
args = objargs_mktuple(vargs);
va_end(vargs);
if (args == NULL) {
Py_DECREF(callable);
return NULL;
}
tmp = PyObject_Call(callable, args, NULL);
Py_DECREF(args);
Py_DECREF(callable);
return tmp;
}
PyObject *
PyObject_CallFunctionObjArgs(PyObject *callable, ...)
{
PyObject *args, *tmp;
va_list vargs;
if (callable == NULL)
return null_error();
/* count the args */
va_start(vargs, callable);
args = objargs_mktuple(vargs);
va_end(vargs);
if (args == NULL)
return NULL;
tmp = PyObject_Call(callable, args, NULL);
Py_DECREF(args);
return tmp;
}
/* isinstance(), issubclass() */
/* abstract_get_bases() has logically 4 return states, with a sort of 0th
* state that will almost never happen.
*
* 0. creating the __bases__ static string could get a MemoryError
* 1. getattr(cls, '__bases__') could raise an AttributeError
* 2. getattr(cls, '__bases__') could raise some other exception
* 3. getattr(cls, '__bases__') could return a tuple
* 4. getattr(cls, '__bases__') could return something other than a tuple
*
* Only state #3 is a non-error state and only it returns a non-NULL object
* (it returns the retrieved tuple).
*
* Any raised AttributeErrors are masked by clearing the exception and
* returning NULL. If an object other than a tuple comes out of __bases__,
* then again, the return value is NULL. So yes, these two situations
* produce exactly the same results: NULL is returned and no error is set.
*
* If some exception other than AttributeError is raised, then NULL is also
* returned, but the exception is not cleared. That's because we want the
* exception to be propagated along.
*
* Callers are expected to test for PyErr_Occurred() when the return value
* is NULL to decide whether a valid exception should be propagated or not.
* When there's no exception to propagate, it's customary for the caller to
* set a TypeError.
*/
static PyObject *
abstract_get_bases(PyObject *cls)
{
static PyObject *__bases__ = NULL;
PyObject *bases;
if (__bases__ == NULL) {
__bases__ = PyString_FromString("__bases__");
if (__bases__ == NULL)
return NULL;
}
bases = PyObject_GetAttr(cls, __bases__);
if (bases == NULL) {
if (PyErr_ExceptionMatches(PyExc_AttributeError))
PyErr_Clear();
return NULL;
}
if (!PyTuple_Check(bases)) {
Py_DECREF(bases);
return NULL;
}
return bases;
}
static int
abstract_issubclass(PyObject *derived, PyObject *cls)
{
PyObject *bases;
int i, n;
int r = 0;
if (derived == cls)
return 1;
if (PyTuple_Check(cls)) {
/* Not a general sequence -- that opens up the road to
recursion and stack overflow. */
n = PyTuple_GET_SIZE(cls);
for (i = 0; i < n; i++) {
if (derived == PyTuple_GET_ITEM(cls, i))
return 1;
}
}
bases = abstract_get_bases(derived);
if (bases == NULL) {
if (PyErr_Occurred())
return -1;
return 0;
}
n = PyTuple_GET_SIZE(bases);
for (i = 0; i < n; i++) {
r = abstract_issubclass(PyTuple_GET_ITEM(bases, i), cls);
if (r != 0)
break;
}
Py_DECREF(bases);
return r;
}
static int
check_class(PyObject *cls, const char *error)
{
PyObject *bases = abstract_get_bases(cls);
if (bases == NULL) {
/* Do not mask errors. */
if (!PyErr_Occurred())
PyErr_SetString(PyExc_TypeError, error);
return 0;
}
Py_DECREF(bases);
return -1;
}
static int
recursive_isinstance(PyObject *inst, PyObject *cls, int recursion_depth)
{
PyObject *icls;
static PyObject *__class__ = NULL;
int retval = 0;
if (__class__ == NULL) {
__class__ = PyString_FromString("__class__");
if (__class__ == NULL)
return -1;
}
if (PyClass_Check(cls) && PyInstance_Check(inst)) {
PyObject *inclass =
(PyObject*)((PyInstanceObject*)inst)->in_class;
retval = PyClass_IsSubclass(inclass, cls);
}
else if (PyType_Check(cls)) {
2001-08-02 01:15:00 -03:00
retval = PyObject_TypeCheck(inst, (PyTypeObject *)cls);
if (retval == 0) {
PyObject *c = PyObject_GetAttr(inst, __class__);
if (c == NULL) {
PyErr_Clear();
}
else {
2003-02-11 23:36:05 -04:00
if (c != (PyObject *)(inst->ob_type) &&
PyType_Check(c))
retval = PyType_IsSubtype(
(PyTypeObject *)c,
(PyTypeObject *)cls);
Py_DECREF(c);
}
}
}
else if (PyTuple_Check(cls)) {
int i, n;
if (!recursion_depth) {
PyErr_SetString(PyExc_RuntimeError,
"nest level of tuple too deep");
return -1;
}
n = PyTuple_GET_SIZE(cls);
for (i = 0; i < n; i++) {
retval = recursive_isinstance(
inst,
PyTuple_GET_ITEM(cls, i),
recursion_depth-1);
if (retval != 0)
break;
}
}
else {
if (!check_class(cls,
"isinstance() arg 2 must be a class, type,"
" or tuple of classes and types"))
return -1;
icls = PyObject_GetAttr(inst, __class__);
if (icls == NULL) {
PyErr_Clear();
retval = 0;
}
else {
retval = abstract_issubclass(icls, cls);
Py_DECREF(icls);
}
}
return retval;
}
int
PyObject_IsInstance(PyObject *inst, PyObject *cls)
{
return recursive_isinstance(inst, cls, Py_GetRecursionLimit());
}
static int
recursive_issubclass(PyObject *derived, PyObject *cls, int recursion_depth)
{
int retval;
if (!PyClass_Check(derived) || !PyClass_Check(cls)) {
2003-02-10 12:05:43 -04:00
if (!check_class(derived,
"issubclass() arg 1 must be a class"))
return -1;
if (PyTuple_Check(cls)) {
int i;
int n = PyTuple_GET_SIZE(cls);
if (!recursion_depth) {
PyErr_SetString(PyExc_RuntimeError,
"nest level of tuple too deep");
return -1;
}
for (i = 0; i < n; ++i) {
retval = recursive_issubclass(
derived,
PyTuple_GET_ITEM(cls, i),
recursion_depth-1);
2003-02-10 12:05:43 -04:00
if (retval != 0) {
/* either found it, or got an error */
return retval;
2003-02-10 12:05:43 -04:00
}
}
return 0;
}
else {
if (!check_class(cls,
"issubclass() arg 2 must be a class"
" or tuple of classes"))
return -1;
}
retval = abstract_issubclass(derived, cls);
}
else {
/* shortcut */
if (!(retval = (derived == cls)))
retval = PyClass_IsSubclass(derived, cls);
}
return retval;
}
int
PyObject_IsSubclass(PyObject *derived, PyObject *cls)
{
return recursive_issubclass(derived, cls, Py_GetRecursionLimit());
}
PyObject *
PyObject_GetIter(PyObject *o)
{
PyTypeObject *t = o->ob_type;
getiterfunc f = NULL;
if (PyType_HasFeature(t, Py_TPFLAGS_HAVE_ITER))
f = t->tp_iter;
if (f == NULL) {
if (PySequence_Check(o))
return PySeqIter_New(o);
PyErr_SetString(PyExc_TypeError,
"iteration over non-sequence");
return NULL;
}
else {
PyObject *res = (*f)(o);
if (res != NULL && !PyIter_Check(res)) {
PyErr_Format(PyExc_TypeError,
"iter() returned non-iterator "
"of type '%.100s'",
res->ob_type->tp_name);
Py_DECREF(res);
res = NULL;
}
return res;
}
}
/* Return next item.
* If an error occurs, return NULL. PyErr_Occurred() will be true.
* If the iteration terminates normally, return NULL and clear the
* PyExc_StopIteration exception (if it was set). PyErr_Occurred()
* will be false.
* Else return the next object. PyErr_Occurred() will be false.
*/
PyObject *
PyIter_Next(PyObject *iter)
{
PyObject *result;
assert(PyIter_Check(iter));
result = (*iter->ob_type->tp_iternext)(iter);
if (result == NULL &&
PyErr_Occurred() &&
PyErr_ExceptionMatches(PyExc_StopIteration))
PyErr_Clear();
return result;
}