cpython/Objects/intobject.c

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1991-02-19 08:39:46 -04:00
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/* Integer object implementation */
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#include "Python.h"
#include <ctype.h>
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long
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PyInt_GetMax(void)
{
return LONG_MAX; /* To initialize sys.maxint */
}
/* Return 1 if exception raised, 0 if caller should retry using longs */
static int
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err_ovf(char *msg)
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{
if (PyErr_Warn(PyExc_OverflowWarning, msg) < 0) {
if (PyErr_ExceptionMatches(PyExc_OverflowWarning))
PyErr_SetString(PyExc_OverflowError, msg);
return 1;
}
else
return 0;
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}
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/* Integers are quite normal objects, to make object handling uniform.
(Using odd pointers to represent integers would save much space
but require extra checks for this special case throughout the code.)
Since a typical Python program spends much of its time allocating
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and deallocating integers, these operations should be very fast.
Therefore we use a dedicated allocation scheme with a much lower
overhead (in space and time) than straight malloc(): a simple
dedicated free list, filled when necessary with memory from malloc().
block_list is a singly-linked list of all PyIntBlocks ever allocated,
linked via their next members. PyIntBlocks are never returned to the
system before shutdown (PyInt_Fini).
free_list is a singly-linked list of available PyIntObjects, linked
via abuse of their ob_type members.
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*/
#define BLOCK_SIZE 1000 /* 1K less typical malloc overhead */
#define BHEAD_SIZE 8 /* Enough for a 64-bit pointer */
#define N_INTOBJECTS ((BLOCK_SIZE - BHEAD_SIZE) / sizeof(PyIntObject))
struct _intblock {
struct _intblock *next;
PyIntObject objects[N_INTOBJECTS];
};
typedef struct _intblock PyIntBlock;
static PyIntBlock *block_list = NULL;
static PyIntObject *free_list = NULL;
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static PyIntObject *
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fill_free_list(void)
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{
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PyIntObject *p, *q;
/* Python's object allocator isn't appropriate for large blocks. */
p = (PyIntObject *) PyMem_MALLOC(sizeof(PyIntBlock));
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if (p == NULL)
return (PyIntObject *) PyErr_NoMemory();
((PyIntBlock *)p)->next = block_list;
block_list = (PyIntBlock *)p;
/* Link the int objects together, from rear to front, then return
the address of the last int object in the block. */
p = &((PyIntBlock *)p)->objects[0];
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q = p + N_INTOBJECTS;
while (--q > p)
q->ob_type = (struct _typeobject *)(q-1);
q->ob_type = NULL;
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return p + N_INTOBJECTS - 1;
}
#ifndef NSMALLPOSINTS
#define NSMALLPOSINTS 100
#endif
#ifndef NSMALLNEGINTS
#define NSMALLNEGINTS 5
#endif
#if NSMALLNEGINTS + NSMALLPOSINTS > 0
/* References to small integers are saved in this array so that they
can be shared.
The integers that are saved are those in the range
-NSMALLNEGINTS (inclusive) to NSMALLPOSINTS (not inclusive).
*/
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static PyIntObject *small_ints[NSMALLNEGINTS + NSMALLPOSINTS];
#endif
#ifdef COUNT_ALLOCS
int quick_int_allocs, quick_neg_int_allocs;
#endif
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PyObject *
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PyInt_FromLong(long ival)
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{
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register PyIntObject *v;
#if NSMALLNEGINTS + NSMALLPOSINTS > 0
if (-NSMALLNEGINTS <= ival && ival < NSMALLPOSINTS) {
v = small_ints[ival + NSMALLNEGINTS];
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Py_INCREF(v);
#ifdef COUNT_ALLOCS
if (ival >= 0)
quick_int_allocs++;
else
quick_neg_int_allocs++;
#endif
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return (PyObject *) v;
}
#endif
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if (free_list == NULL) {
if ((free_list = fill_free_list()) == NULL)
return NULL;
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}
/* Inline PyObject_New */
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v = free_list;
free_list = (PyIntObject *)v->ob_type;
PyObject_INIT(v, &PyInt_Type);
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v->ob_ival = ival;
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return (PyObject *) v;
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}
static void
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int_dealloc(PyIntObject *v)
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{
if (PyInt_CheckExact(v)) {
v->ob_type = (struct _typeobject *)free_list;
free_list = v;
}
else
v->ob_type->tp_free((PyObject *)v);
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}
static void
int_free(PyIntObject *v)
{
v->ob_type = (struct _typeobject *)free_list;
free_list = v;
}
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long
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PyInt_AsLong(register PyObject *op)
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{
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PyNumberMethods *nb;
PyIntObject *io;
long val;
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if (op && PyInt_Check(op))
return PyInt_AS_LONG((PyIntObject*) op);
if (op == NULL || (nb = op->ob_type->tp_as_number) == NULL ||
nb->nb_int == NULL) {
PyErr_SetString(PyExc_TypeError, "an integer is required");
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return -1;
}
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io = (PyIntObject*) (*nb->nb_int) (op);
if (io == NULL)
return -1;
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if (!PyInt_Check(io)) {
if (PyLong_Check(io)) {
/* got a long? => retry int conversion */
val = PyLong_AsLong((PyObject *)io);
Py_DECREF(io);
if ((val == -1) && PyErr_Occurred())
return -1;
return val;
}
else
{
Py_DECREF(io);
PyErr_SetString(PyExc_TypeError,
"nb_int should return int object");
return -1;
}
}
val = PyInt_AS_LONG(io);
Py_DECREF(io);
return val;
}
unsigned long
PyInt_AsUnsignedLongMask(register PyObject *op)
{
PyNumberMethods *nb;
PyIntObject *io;
unsigned long val;
if (op && PyInt_Check(op))
return PyInt_AS_LONG((PyIntObject*) op);
if (op && PyLong_Check(op))
return PyLong_AsUnsignedLongMask(op);
if (op == NULL || (nb = op->ob_type->tp_as_number) == NULL ||
nb->nb_int == NULL) {
PyErr_SetString(PyExc_TypeError, "an integer is required");
return -1;
}
io = (PyIntObject*) (*nb->nb_int) (op);
if (io == NULL)
return -1;
if (!PyInt_Check(io)) {
if (PyLong_Check(io)) {
val = PyLong_AsUnsignedLongMask((PyObject *)io);
Py_DECREF(io);
if (PyErr_Occurred())
return -1;
return val;
}
else
{
Py_DECREF(io);
PyErr_SetString(PyExc_TypeError,
"nb_int should return int object");
return -1;
}
}
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val = PyInt_AS_LONG(io);
Py_DECREF(io);
return val;
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}
#ifdef HAVE_LONG_LONG
unsigned PY_LONG_LONG
PyInt_AsUnsignedLongLongMask(register PyObject *op)
{
PyNumberMethods *nb;
PyIntObject *io;
unsigned PY_LONG_LONG val;
if (op && PyInt_Check(op))
return PyInt_AS_LONG((PyIntObject*) op);
if (op && PyLong_Check(op))
return PyLong_AsUnsignedLongLongMask(op);
if (op == NULL || (nb = op->ob_type->tp_as_number) == NULL ||
nb->nb_int == NULL) {
PyErr_SetString(PyExc_TypeError, "an integer is required");
return -1;
}
io = (PyIntObject*) (*nb->nb_int) (op);
if (io == NULL)
return -1;
if (!PyInt_Check(io)) {
if (PyLong_Check(io)) {
val = PyLong_AsUnsignedLongLongMask((PyObject *)io);
Py_DECREF(io);
if (PyErr_Occurred())
return -1;
return val;
}
else
{
Py_DECREF(io);
PyErr_SetString(PyExc_TypeError,
"nb_int should return int object");
return -1;
}
}
val = PyInt_AS_LONG(io);
Py_DECREF(io);
return val;
}
#endif
PyObject *
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PyInt_FromString(char *s, char **pend, int base)
{
char *end;
long x;
char buffer[256]; /* For errors */
int warn = 0;
if ((base != 0 && base < 2) || base > 36) {
PyErr_SetString(PyExc_ValueError,
"int() base must be >= 2 and <= 36");
return NULL;
}
while (*s && isspace(Py_CHARMASK(*s)))
s++;
errno = 0;
if (base == 0 && s[0] == '0') {
x = (long) PyOS_strtoul(s, &end, base);
if (x < 0)
warn = 1;
}
else
x = PyOS_strtol(s, &end, base);
if (end == s || !isalnum(Py_CHARMASK(end[-1])))
goto bad;
while (*end && isspace(Py_CHARMASK(*end)))
end++;
if (*end != '\0') {
bad:
PyOS_snprintf(buffer, sizeof(buffer),
"invalid literal for int(): %.200s", s);
PyErr_SetString(PyExc_ValueError, buffer);
return NULL;
}
else if (errno != 0) {
if (err_ovf("string/unicode conversion"))
return NULL;
return PyLong_FromString(s, pend, base);
}
if (warn) {
if (PyErr_Warn(PyExc_FutureWarning,
"int('0...', 0): sign will change in Python 2.4") < 0)
return NULL;
}
if (pend)
*pend = end;
return PyInt_FromLong(x);
}
#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
PyObject *
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PyInt_FromUnicode(Py_UNICODE *s, int length, int base)
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).
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{
PyObject *result;
char *buffer = PyMem_MALLOC(length+1);
if (buffer == 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
return NULL;
if (PyUnicode_EncodeDecimal(s, length, buffer, NULL)) {
PyMem_FREE(buffer);
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 NULL;
}
result = PyInt_FromString(buffer, NULL, base);
PyMem_FREE(buffer);
return result;
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
}
#endif
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
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/* Methods */
/* Integers are seen as the "smallest" of all numeric types and thus
don't have any knowledge about conversion of other types to
integers. */
#define CONVERT_TO_LONG(obj, lng) \
if (PyInt_Check(obj)) { \
lng = PyInt_AS_LONG(obj); \
} \
else { \
Py_INCREF(Py_NotImplemented); \
return Py_NotImplemented; \
}
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/* ARGSUSED */
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static int
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int_print(PyIntObject *v, FILE *fp, int flags)
/* flags -- not used but required by interface */
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{
fprintf(fp, "%ld", v->ob_ival);
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return 0;
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}
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static PyObject *
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int_repr(PyIntObject *v)
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{
char buf[64];
PyOS_snprintf(buf, sizeof(buf), "%ld", v->ob_ival);
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return PyString_FromString(buf);
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}
static int
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int_compare(PyIntObject *v, PyIntObject *w)
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{
register long i = v->ob_ival;
register long j = w->ob_ival;
return (i < j) ? -1 : (i > j) ? 1 : 0;
}
static long
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int_hash(PyIntObject *v)
{
/* XXX If this is changed, you also need to change the way
Python's long, float and complex types are hashed. */
long x = v -> ob_ival;
if (x == -1)
x = -2;
return x;
}
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static PyObject *
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int_add(PyIntObject *v, PyIntObject *w)
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{
register long a, b, x;
CONVERT_TO_LONG(v, a);
CONVERT_TO_LONG(w, b);
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x = a + b;
if ((x^a) >= 0 || (x^b) >= 0)
return PyInt_FromLong(x);
if (err_ovf("integer addition"))
return NULL;
return PyLong_Type.tp_as_number->nb_add((PyObject *)v, (PyObject *)w);
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}
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static PyObject *
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int_sub(PyIntObject *v, PyIntObject *w)
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{
register long a, b, x;
CONVERT_TO_LONG(v, a);
CONVERT_TO_LONG(w, b);
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x = a - b;
if ((x^a) >= 0 || (x^~b) >= 0)
return PyInt_FromLong(x);
if (err_ovf("integer subtraction"))
return NULL;
return PyLong_Type.tp_as_number->nb_subtract((PyObject *)v,
(PyObject *)w);
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}
/*
Integer overflow checking for * is painful: Python tried a couple ways, but
they didn't work on all platforms, or failed in endcases (a product of
-sys.maxint-1 has been a particular pain).
Here's another way:
The native long product x*y is either exactly right or *way* off, being
just the last n bits of the true product, where n is the number of bits
in a long (the delivered product is the true product plus i*2**n for
some integer i).
The native double product (double)x * (double)y is subject to three
rounding errors: on a sizeof(long)==8 box, each cast to double can lose
info, and even on a sizeof(long)==4 box, the multiplication can lose info.
But, unlike the native long product, it's not in *range* trouble: even
if sizeof(long)==32 (256-bit longs), the product easily fits in the
dynamic range of a double. So the leading 50 (or so) bits of the double
product are correct.
We check these two ways against each other, and declare victory if they're
approximately the same. Else, because the native long product is the only
one that can lose catastrophic amounts of information, it's the native long
product that must have overflowed.
*/
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static PyObject *
int_mul(PyObject *v, PyObject *w)
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{
long a, b;
long longprod; /* a*b in native long arithmetic */
double doubled_longprod; /* (double)longprod */
double doubleprod; /* (double)a * (double)b */
CONVERT_TO_LONG(v, a);
CONVERT_TO_LONG(w, b);
longprod = a * b;
doubleprod = (double)a * (double)b;
doubled_longprod = (double)longprod;
/* Fast path for normal case: small multiplicands, and no info
is lost in either method. */
if (doubled_longprod == doubleprod)
return PyInt_FromLong(longprod);
/* Somebody somewhere lost info. Close enough, or way off? Note
that a != 0 and b != 0 (else doubled_longprod == doubleprod == 0).
The difference either is or isn't significant compared to the
true value (of which doubleprod is a good approximation).
*/
{
const double diff = doubled_longprod - doubleprod;
const double absdiff = diff >= 0.0 ? diff : -diff;
const double absprod = doubleprod >= 0.0 ? doubleprod :
-doubleprod;
/* absdiff/absprod <= 1/32 iff
32 * absdiff <= absprod -- 5 good bits is "close enough" */
if (32.0 * absdiff <= absprod)
return PyInt_FromLong(longprod);
else if (err_ovf("integer multiplication"))
return NULL;
else
return PyLong_Type.tp_as_number->nb_multiply(v, w);
}
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}
/* Return type of i_divmod */
enum divmod_result {
DIVMOD_OK, /* Correct result */
DIVMOD_OVERFLOW, /* Overflow, try again using longs */
DIVMOD_ERROR /* Exception raised */
};
static enum divmod_result
i_divmod(register long x, register long y,
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long *p_xdivy, long *p_xmody)
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{
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long xdivy, xmody;
if (y == 0) {
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PyErr_SetString(PyExc_ZeroDivisionError,
"integer division or modulo by zero");
return DIVMOD_ERROR;
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}
/* (-sys.maxint-1)/-1 is the only overflow case. */
if (y == -1 && x < 0 && x == -x) {
if (err_ovf("integer division"))
return DIVMOD_ERROR;
return DIVMOD_OVERFLOW;
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}
xdivy = x / y;
xmody = x - xdivy * y;
/* If the signs of x and y differ, and the remainder is non-0,
* C89 doesn't define whether xdivy is now the floor or the
* ceiling of the infinitely precise quotient. We want the floor,
* and we have it iff the remainder's sign matches y's.
*/
if (xmody && ((y ^ xmody) < 0) /* i.e. and signs differ */) {
xmody += y;
--xdivy;
assert(xmody && ((y ^ xmody) >= 0));
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}
*p_xdivy = xdivy;
*p_xmody = xmody;
return DIVMOD_OK;
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}
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static PyObject *
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int_div(PyIntObject *x, PyIntObject *y)
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{
long xi, yi;
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long d, m;
CONVERT_TO_LONG(x, xi);
CONVERT_TO_LONG(y, yi);
switch (i_divmod(xi, yi, &d, &m)) {
case DIVMOD_OK:
return PyInt_FromLong(d);
case DIVMOD_OVERFLOW:
return PyLong_Type.tp_as_number->nb_divide((PyObject *)x,
(PyObject *)y);
default:
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return NULL;
}
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}
Add warning mode for classic division, almost exactly as specified in PEP 238. Changes: - add a new flag variable Py_DivisionWarningFlag, declared in pydebug.h, defined in object.c, set in main.c, and used in {int,long,float,complex}object.c. When this flag is set, the classic division operator issues a DeprecationWarning message. - add a new API PyRun_SimpleStringFlags() to match PyRun_SimpleString(). The main() function calls this so that commands run with -c can also benefit from -Dnew. - While I was at it, I changed the usage message in main() somewhat: alphabetized the options, split it in *four* parts to fit in under 512 bytes (not that I still believe this is necessary -- doc strings elsewhere are much longer), and perhaps most visibly, don't display the full list of options on each command line error. Instead, the full list is only displayed when -h is used, and otherwise a brief reminder of -h is displayed. When -h is used, write to stdout so that you can do `python -h | more'. Notes: - I don't want to use the -W option to control whether the classic division warning is issued or not, because the machinery to decide whether to display the warning or not is very expensive (it involves calling into the warnings.py module). You can use -Werror to turn the warnings into exceptions though. - The -Dnew option doesn't select future division for all of the program -- only for the __main__ module. I don't know if I'll ever change this -- it would require changes to the .pyc file magic number to do it right, and a more global notion of compiler flags. - You can usefully combine -Dwarn and -Dnew: this gives the __main__ module new division, and warns about classic division everywhere else.
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static PyObject *
int_classic_div(PyIntObject *x, PyIntObject *y)
{
long xi, yi;
long d, m;
CONVERT_TO_LONG(x, xi);
CONVERT_TO_LONG(y, yi);
if (Py_DivisionWarningFlag &&
PyErr_Warn(PyExc_DeprecationWarning, "classic int division") < 0)
return NULL;
switch (i_divmod(xi, yi, &d, &m)) {
case DIVMOD_OK:
return PyInt_FromLong(d);
case DIVMOD_OVERFLOW:
return PyLong_Type.tp_as_number->nb_divide((PyObject *)x,
(PyObject *)y);
default:
return NULL;
}
}
static PyObject *
int_true_divide(PyObject *v, PyObject *w)
{
/* If they aren't both ints, give someone else a chance. In
particular, this lets int/long get handled by longs, which
underflows to 0 gracefully if the long is too big to convert
to float. */
if (PyInt_Check(v) && PyInt_Check(w))
return PyFloat_Type.tp_as_number->nb_true_divide(v, w);
Py_INCREF(Py_NotImplemented);
return Py_NotImplemented;
}
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static PyObject *
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int_mod(PyIntObject *x, PyIntObject *y)
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{
long xi, yi;
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long d, m;
CONVERT_TO_LONG(x, xi);
CONVERT_TO_LONG(y, yi);
switch (i_divmod(xi, yi, &d, &m)) {
case DIVMOD_OK:
return PyInt_FromLong(m);
case DIVMOD_OVERFLOW:
return PyLong_Type.tp_as_number->nb_remainder((PyObject *)x,
(PyObject *)y);
default:
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return NULL;
}
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}
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static PyObject *
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int_divmod(PyIntObject *x, PyIntObject *y)
{
long xi, yi;
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long d, m;
CONVERT_TO_LONG(x, xi);
CONVERT_TO_LONG(y, yi);
switch (i_divmod(xi, yi, &d, &m)) {
case DIVMOD_OK:
return Py_BuildValue("(ll)", d, m);
case DIVMOD_OVERFLOW:
return PyLong_Type.tp_as_number->nb_divmod((PyObject *)x,
(PyObject *)y);
default:
return NULL;
}
}
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static PyObject *
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int_pow(PyIntObject *v, PyIntObject *w, PyIntObject *z)
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{
register long iv, iw, iz=0, ix, temp, prev;
CONVERT_TO_LONG(v, iv);
CONVERT_TO_LONG(w, iw);
if (iw < 0) {
if ((PyObject *)z != Py_None) {
PyErr_SetString(PyExc_TypeError, "pow() 2nd argument "
"cannot be negative when 3rd argument specified");
return NULL;
}
/* Return a float. This works because we know that
this calls float_pow() which converts its
arguments to double. */
return PyFloat_Type.tp_as_number->nb_power(
(PyObject *)v, (PyObject *)w, (PyObject *)z);
}
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if ((PyObject *)z != Py_None) {
CONVERT_TO_LONG(z, iz);
if (iz == 0) {
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PyErr_SetString(PyExc_ValueError,
"pow() 3rd argument cannot be 0");
return NULL;
}
}
/*
* XXX: The original exponentiation code stopped looping
* when temp hit zero; this code will continue onwards
* unnecessarily, but at least it won't cause any errors.
* Hopefully the speed improvement from the fast exponentiation
* will compensate for the slight inefficiency.
* XXX: Better handling of overflows is desperately needed.
*/
temp = iv;
ix = 1;
while (iw > 0) {
prev = ix; /* Save value for overflow check */
if (iw & 1) {
ix = ix*temp;
if (temp == 0)
break; /* Avoid ix / 0 */
if (ix / temp != prev) {
if (err_ovf("integer exponentiation"))
return NULL;
return PyLong_Type.tp_as_number->nb_power(
(PyObject *)v,
(PyObject *)w,
(PyObject *)z);
}
}
iw >>= 1; /* Shift exponent down by 1 bit */
if (iw==0) break;
prev = temp;
temp *= temp; /* Square the value of temp */
if (prev!=0 && temp/prev!=prev) {
if (err_ovf("integer exponentiation"))
return NULL;
return PyLong_Type.tp_as_number->nb_power(
(PyObject *)v, (PyObject *)w, (PyObject *)z);
}
if (iz) {
/* If we did a multiplication, perform a modulo */
ix = ix % iz;
temp = temp % iz;
}
}
if (iz) {
long div, mod;
switch (i_divmod(ix, iz, &div, &mod)) {
case DIVMOD_OK:
ix = mod;
break;
case DIVMOD_OVERFLOW:
return PyLong_Type.tp_as_number->nb_power(
(PyObject *)v, (PyObject *)w, (PyObject *)z);
default:
return NULL;
}
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}
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return PyInt_FromLong(ix);
}
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1997-05-02 00:12:38 -03:00
static PyObject *
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int_neg(PyIntObject *v)
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{
register long a, x;
a = v->ob_ival;
x = -a;
if (a < 0 && x < 0) {
PyObject *o;
if (err_ovf("integer negation"))
return NULL;
o = PyLong_FromLong(a);
if (o != NULL) {
PyObject *result = PyNumber_Negative(o);
Py_DECREF(o);
return result;
}
return NULL;
}
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return PyInt_FromLong(x);
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}
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static PyObject *
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int_pos(PyIntObject *v)
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{
if (PyInt_CheckExact(v)) {
Py_INCREF(v);
return (PyObject *)v;
}
else
return PyInt_FromLong(v->ob_ival);
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}
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static PyObject *
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int_abs(PyIntObject *v)
{
if (v->ob_ival >= 0)
return int_pos(v);
else
return int_neg(v);
}
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static int
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int_nonzero(PyIntObject *v)
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{
return v->ob_ival != 0;
}
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static PyObject *
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int_invert(PyIntObject *v)
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{
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return PyInt_FromLong(~v->ob_ival);
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}
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static PyObject *
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int_lshift(PyIntObject *v, PyIntObject *w)
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{
long a, b, c;
CONVERT_TO_LONG(v, a);
CONVERT_TO_LONG(w, b);
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if (b < 0) {
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PyErr_SetString(PyExc_ValueError, "negative shift count");
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return NULL;
}
if (a == 0 || b == 0)
return int_pos(v);
if (b >= LONG_BIT) {
if (PyErr_Warn(PyExc_FutureWarning,
"x<<y losing bits or changing sign "
"will return a long in Python 2.4 and up") < 0)
return NULL;
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return PyInt_FromLong(0L);
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}
c = a << b;
if (a != Py_ARITHMETIC_RIGHT_SHIFT(long, c, b)) {
if (PyErr_Warn(PyExc_FutureWarning,
"x<<y losing bits or changing sign "
"will return a long in Python 2.4 and up") < 0)
return NULL;
}
return PyInt_FromLong(c);
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}
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static PyObject *
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int_rshift(PyIntObject *v, PyIntObject *w)
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{
register long a, b;
CONVERT_TO_LONG(v, a);
CONVERT_TO_LONG(w, b);
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if (b < 0) {
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PyErr_SetString(PyExc_ValueError, "negative shift count");
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return NULL;
}
if (a == 0 || b == 0)
return int_pos(v);
if (b >= LONG_BIT) {
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if (a < 0)
a = -1;
else
a = 0;
}
else {
a = Py_ARITHMETIC_RIGHT_SHIFT(long, a, b);
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}
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return PyInt_FromLong(a);
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}
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static PyObject *
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int_and(PyIntObject *v, PyIntObject *w)
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{
register long a, b;
CONVERT_TO_LONG(v, a);
CONVERT_TO_LONG(w, b);
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return PyInt_FromLong(a & b);
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}
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static PyObject *
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int_xor(PyIntObject *v, PyIntObject *w)
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{
register long a, b;
CONVERT_TO_LONG(v, a);
CONVERT_TO_LONG(w, b);
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return PyInt_FromLong(a ^ b);
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}
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static PyObject *
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int_or(PyIntObject *v, PyIntObject *w)
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{
register long a, b;
CONVERT_TO_LONG(v, a);
CONVERT_TO_LONG(w, b);
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return PyInt_FromLong(a | b);
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}
static int
int_coerce(PyObject **pv, PyObject **pw)
{
if (PyInt_Check(*pw)) {
Py_INCREF(*pv);
Py_INCREF(*pw);
return 0;
}
return 1; /* Can't do it */
}
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static PyObject *
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int_int(PyIntObject *v)
{
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Py_INCREF(v);
return (PyObject *)v;
}
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static PyObject *
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int_long(PyIntObject *v)
{
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return PyLong_FromLong((v -> ob_ival));
}
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static PyObject *
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int_float(PyIntObject *v)
{
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return PyFloat_FromDouble((double)(v -> ob_ival));
}
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static PyObject *
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int_oct(PyIntObject *v)
{
char buf[100];
long x = v -> ob_ival;
if (x < 0) {
if (PyErr_Warn(PyExc_FutureWarning,
"hex()/oct() of negative int will return "
"a signed string in Python 2.4 and up") < 0)
return NULL;
}
if (x == 0)
strcpy(buf, "0");
else
PyOS_snprintf(buf, sizeof(buf), "0%lo", x);
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return PyString_FromString(buf);
}
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static PyObject *
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int_hex(PyIntObject *v)
{
char buf[100];
long x = v -> ob_ival;
if (x < 0) {
if (PyErr_Warn(PyExc_FutureWarning,
"hex()/oct() of negative int will return "
"a signed string in Python 2.4 and up") < 0)
return NULL;
}
PyOS_snprintf(buf, sizeof(buf), "0x%lx", x);
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return PyString_FromString(buf);
}
static PyObject *
int_subtype_new(PyTypeObject *type, PyObject *args, PyObject *kwds);
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static PyObject *
int_new(PyTypeObject *type, PyObject *args, PyObject *kwds)
{
PyObject *x = NULL;
int base = -909;
static char *kwlist[] = {"x", "base", 0};
if (type != &PyInt_Type)
return int_subtype_new(type, args, kwds); /* Wimp out */
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if (!PyArg_ParseTupleAndKeywords(args, kwds, "|Oi:int", kwlist,
&x, &base))
return NULL;
if (x == NULL)
return PyInt_FromLong(0L);
if (base == -909)
return PyNumber_Int(x);
if (PyString_Check(x))
return PyInt_FromString(PyString_AS_STRING(x), NULL, base);
#ifdef Py_USING_UNICODE
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if (PyUnicode_Check(x))
return PyInt_FromUnicode(PyUnicode_AS_UNICODE(x),
PyUnicode_GET_SIZE(x),
base);
#endif
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PyErr_SetString(PyExc_TypeError,
"int() can't convert non-string with explicit base");
return NULL;
}
/* Wimpy, slow approach to tp_new calls for subtypes of int:
first create a regular int from whatever arguments we got,
then allocate a subtype instance and initialize its ob_ival
from the regular int. The regular int is then thrown away.
*/
static PyObject *
int_subtype_new(PyTypeObject *type, PyObject *args, PyObject *kwds)
{
PyObject *tmp, *new;
long ival;
assert(PyType_IsSubtype(type, &PyInt_Type));
tmp = int_new(&PyInt_Type, args, kwds);
if (tmp == NULL)
return NULL;
if (!PyInt_Check(tmp)) {
if (!PyLong_Check(tmp)) {
PyErr_SetString(PyExc_ValueError,
"value must convertable to an int");
Py_DECREF(tmp);
return NULL;
}
ival = PyLong_AsLong(tmp);
if (ival == -1 && PyErr_Occurred()) {
Py_DECREF(tmp);
return NULL;
}
} else {
ival = ((PyIntObject *)tmp)->ob_ival;
}
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new = type->tp_alloc(type, 0);
if (new == NULL) {
Py_DECREF(tmp);
return NULL;
}
((PyIntObject *)new)->ob_ival = ival;
Py_DECREF(tmp);
return new;
}
static PyObject *
int_getnewargs(PyIntObject *v)
{
return Py_BuildValue("(l)", v->ob_ival);
}
static PyMethodDef int_methods[] = {
{"__getnewargs__", (PyCFunction)int_getnewargs, METH_NOARGS},
{NULL, NULL} /* sentinel */
};
2002-06-13 17:33:02 -03:00
PyDoc_STRVAR(int_doc,
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"int(x[, base]) -> integer\n\
\n\
Convert a string or number to an integer, if possible. A floating point\n\
argument will be truncated towards zero (this does not include a string\n\
representation of a floating point number!) When converting a string, use\n\
the optional base. It is an error to supply a base when converting a\n\
non-string. If the argument is outside the integer range a long object\n\
will be returned instead.");
2001-08-02 01:15:00 -03:00
1997-05-02 00:12:38 -03:00
static PyNumberMethods int_as_number = {
(binaryfunc)int_add, /*nb_add*/
(binaryfunc)int_sub, /*nb_subtract*/
(binaryfunc)int_mul, /*nb_multiply*/
Add warning mode for classic division, almost exactly as specified in PEP 238. Changes: - add a new flag variable Py_DivisionWarningFlag, declared in pydebug.h, defined in object.c, set in main.c, and used in {int,long,float,complex}object.c. When this flag is set, the classic division operator issues a DeprecationWarning message. - add a new API PyRun_SimpleStringFlags() to match PyRun_SimpleString(). The main() function calls this so that commands run with -c can also benefit from -Dnew. - While I was at it, I changed the usage message in main() somewhat: alphabetized the options, split it in *four* parts to fit in under 512 bytes (not that I still believe this is necessary -- doc strings elsewhere are much longer), and perhaps most visibly, don't display the full list of options on each command line error. Instead, the full list is only displayed when -h is used, and otherwise a brief reminder of -h is displayed. When -h is used, write to stdout so that you can do `python -h | more'. Notes: - I don't want to use the -W option to control whether the classic division warning is issued or not, because the machinery to decide whether to display the warning or not is very expensive (it involves calling into the warnings.py module). You can use -Werror to turn the warnings into exceptions though. - The -Dnew option doesn't select future division for all of the program -- only for the __main__ module. I don't know if I'll ever change this -- it would require changes to the .pyc file magic number to do it right, and a more global notion of compiler flags. - You can usefully combine -Dwarn and -Dnew: this gives the __main__ module new division, and warns about classic division everywhere else.
2001-08-31 14:40:15 -03:00
(binaryfunc)int_classic_div, /*nb_divide*/
(binaryfunc)int_mod, /*nb_remainder*/
(binaryfunc)int_divmod, /*nb_divmod*/
(ternaryfunc)int_pow, /*nb_power*/
(unaryfunc)int_neg, /*nb_negative*/
(unaryfunc)int_pos, /*nb_positive*/
(unaryfunc)int_abs, /*nb_absolute*/
(inquiry)int_nonzero, /*nb_nonzero*/
(unaryfunc)int_invert, /*nb_invert*/
(binaryfunc)int_lshift, /*nb_lshift*/
(binaryfunc)int_rshift, /*nb_rshift*/
(binaryfunc)int_and, /*nb_and*/
(binaryfunc)int_xor, /*nb_xor*/
(binaryfunc)int_or, /*nb_or*/
int_coerce, /*nb_coerce*/
(unaryfunc)int_int, /*nb_int*/
(unaryfunc)int_long, /*nb_long*/
(unaryfunc)int_float, /*nb_float*/
(unaryfunc)int_oct, /*nb_oct*/
(unaryfunc)int_hex, /*nb_hex*/
0, /*nb_inplace_add*/
0, /*nb_inplace_subtract*/
0, /*nb_inplace_multiply*/
0, /*nb_inplace_divide*/
0, /*nb_inplace_remainder*/
0, /*nb_inplace_power*/
0, /*nb_inplace_lshift*/
0, /*nb_inplace_rshift*/
0, /*nb_inplace_and*/
0, /*nb_inplace_xor*/
0, /*nb_inplace_or*/
(binaryfunc)int_div, /* nb_floor_divide */
int_true_divide, /* nb_true_divide */
0, /* nb_inplace_floor_divide */
0, /* nb_inplace_true_divide */
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};
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PyTypeObject PyInt_Type = {
PyObject_HEAD_INIT(&PyType_Type)
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0,
"int",
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sizeof(PyIntObject),
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0,
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(destructor)int_dealloc, /* tp_dealloc */
(printfunc)int_print, /* tp_print */
0, /* tp_getattr */
0, /* tp_setattr */
(cmpfunc)int_compare, /* tp_compare */
(reprfunc)int_repr, /* tp_repr */
&int_as_number, /* tp_as_number */
0, /* tp_as_sequence */
0, /* tp_as_mapping */
(hashfunc)int_hash, /* tp_hash */
0, /* tp_call */
(reprfunc)int_repr, /* tp_str */
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PyObject_GenericGetAttr, /* tp_getattro */
0, /* tp_setattro */
0, /* tp_as_buffer */
Py_TPFLAGS_DEFAULT | Py_TPFLAGS_CHECKTYPES |
Py_TPFLAGS_BASETYPE, /* tp_flags */
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int_doc, /* tp_doc */
0, /* tp_traverse */
0, /* tp_clear */
0, /* tp_richcompare */
0, /* tp_weaklistoffset */
0, /* tp_iter */
0, /* tp_iternext */
int_methods, /* tp_methods */
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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 */
int_new, /* tp_new */
(freefunc)int_free, /* tp_free */
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};
int
_PyInt_Init(void)
{
PyIntObject *v;
int ival;
#if NSMALLNEGINTS + NSMALLPOSINTS > 0
for (ival = -NSMALLNEGINTS; ival < NSMALLPOSINTS; ival++) {
if ((free_list = fill_free_list()) == NULL)
return 0;
/* PyObject_New is inlined */
v = free_list;
free_list = (PyIntObject *)v->ob_type;
PyObject_INIT(v, &PyInt_Type);
v->ob_ival = ival;
small_ints[ival + NSMALLNEGINTS] = v;
}
#endif
return 1;
}
void
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PyInt_Fini(void)
{
PyIntObject *p;
PyIntBlock *list, *next;
int i;
int bc, bf; /* block count, number of freed blocks */
int irem, isum; /* remaining unfreed ints per block, total */
#if NSMALLNEGINTS + NSMALLPOSINTS > 0
PyIntObject **q;
i = NSMALLNEGINTS + NSMALLPOSINTS;
q = small_ints;
while (--i >= 0) {
Py_XDECREF(*q);
*q++ = NULL;
}
#endif
bc = 0;
bf = 0;
isum = 0;
list = block_list;
block_list = NULL;
free_list = NULL;
while (list != NULL) {
bc++;
irem = 0;
for (i = 0, p = &list->objects[0];
i < N_INTOBJECTS;
i++, p++) {
if (PyInt_CheckExact(p) && p->ob_refcnt != 0)
irem++;
}
next = list->next;
if (irem) {
list->next = block_list;
block_list = list;
for (i = 0, p = &list->objects[0];
i < N_INTOBJECTS;
i++, p++) {
if (!PyInt_CheckExact(p) ||
p->ob_refcnt == 0) {
p->ob_type = (struct _typeobject *)
free_list;
free_list = p;
}
#if NSMALLNEGINTS + NSMALLPOSINTS > 0
else if (-NSMALLNEGINTS <= p->ob_ival &&
p->ob_ival < NSMALLPOSINTS &&
small_ints[p->ob_ival +
NSMALLNEGINTS] == NULL) {
Py_INCREF(p);
small_ints[p->ob_ival +
NSMALLNEGINTS] = p;
}
#endif
}
}
else {
PyMem_FREE(list);
bf++;
}
isum += irem;
list = next;
}
if (!Py_VerboseFlag)
return;
fprintf(stderr, "# cleanup ints");
if (!isum) {
fprintf(stderr, "\n");
}
else {
fprintf(stderr,
": %d unfreed int%s in %d out of %d block%s\n",
isum, isum == 1 ? "" : "s",
bc - bf, bc, bc == 1 ? "" : "s");
}
if (Py_VerboseFlag > 1) {
list = block_list;
while (list != NULL) {
for (i = 0, p = &list->objects[0];
i < N_INTOBJECTS;
i++, p++) {
if (PyInt_CheckExact(p) && p->ob_refcnt != 0)
fprintf(stderr,
"# <int at %p, refcnt=%d, val=%ld>\n",
p, p->ob_refcnt, p->ob_ival);
}
list = list->next;
}
}
}