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cpython/Modules/_pickle.c

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#include "Python.h"
#include "structmember.h"
PyDoc_STRVAR(pickle_module_doc,
"Optimized C implementation for the Python pickle module.");
/* Bump this when new opcodes are added to the pickle protocol. */
enum {
HIGHEST_PROTOCOL = 3,
DEFAULT_PROTOCOL = 3
};
/* Pickle opcodes. These must be kept updated with pickle.py.
Extensive docs are in pickletools.py. */
enum opcode {
MARK = '(',
STOP = '.',
POP = '0',
POP_MARK = '1',
DUP = '2',
FLOAT = 'F',
INT = 'I',
BININT = 'J',
BININT1 = 'K',
LONG = 'L',
BININT2 = 'M',
NONE = 'N',
PERSID = 'P',
BINPERSID = 'Q',
REDUCE = 'R',
STRING = 'S',
BINSTRING = 'T',
SHORT_BINSTRING = 'U',
UNICODE = 'V',
BINUNICODE = 'X',
APPEND = 'a',
BUILD = 'b',
GLOBAL = 'c',
DICT = 'd',
EMPTY_DICT = '}',
APPENDS = 'e',
GET = 'g',
BINGET = 'h',
INST = 'i',
LONG_BINGET = 'j',
LIST = 'l',
EMPTY_LIST = ']',
OBJ = 'o',
PUT = 'p',
BINPUT = 'q',
LONG_BINPUT = 'r',
SETITEM = 's',
TUPLE = 't',
EMPTY_TUPLE = ')',
SETITEMS = 'u',
BINFLOAT = 'G',
/* Protocol 2. */
PROTO = '\x80',
NEWOBJ = '\x81',
EXT1 = '\x82',
EXT2 = '\x83',
EXT4 = '\x84',
TUPLE1 = '\x85',
TUPLE2 = '\x86',
TUPLE3 = '\x87',
NEWTRUE = '\x88',
NEWFALSE = '\x89',
LONG1 = '\x8a',
LONG4 = '\x8b',
/* Protocol 3 (Python 3.x) */
BINBYTES = 'B',
SHORT_BINBYTES = 'C',
};
/* These aren't opcodes -- they're ways to pickle bools before protocol 2
* so that unpicklers written before bools were introduced unpickle them
* as ints, but unpicklers after can recognize that bools were intended.
* Note that protocol 2 added direct ways to pickle bools.
*/
#undef TRUE
#define TRUE "I01\n"
#undef FALSE
#define FALSE "I00\n"
enum {
/* Keep in synch with pickle.Pickler._BATCHSIZE. This is how many elements
batch_list/dict() pumps out before doing APPENDS/SETITEMS. Nothing will
break if this gets out of synch with pickle.py, but it's unclear that would
help anything either. */
BATCHSIZE = 1000,
/* Nesting limit until Pickler, when running in "fast mode", starts
checking for self-referential data-structures. */
FAST_NESTING_LIMIT = 50,
/* Size of the write buffer of Pickler. Higher values will reduce the
number of calls to the write() method of the output stream. */
WRITE_BUF_SIZE = 256,
};
/* Exception classes for pickle. These should override the ones defined in
pickle.py, when the C-optimized Pickler and Unpickler are used. */
static PyObject *PickleError = NULL;
static PyObject *PicklingError = NULL;
static PyObject *UnpicklingError = NULL;
/* copyreg.dispatch_table, {type_object: pickling_function} */
static PyObject *dispatch_table = NULL;
/* For EXT[124] opcodes. */
/* copyreg._extension_registry, {(module_name, function_name): code} */
static PyObject *extension_registry = NULL;
/* copyreg._inverted_registry, {code: (module_name, function_name)} */
static PyObject *inverted_registry = NULL;
/* copyreg._extension_cache, {code: object} */
static PyObject *extension_cache = NULL;
/* _compat_pickle.NAME_MAPPING, {(oldmodule, oldname): (newmodule, newname)} */
static PyObject *name_mapping_2to3 = NULL;
/* _compat_pickle.IMPORT_MAPPING, {oldmodule: newmodule} */
static PyObject *import_mapping_2to3 = NULL;
/* Same, but with REVERSE_NAME_MAPPING / REVERSE_IMPORT_MAPPING */
static PyObject *name_mapping_3to2 = NULL;
static PyObject *import_mapping_3to2 = NULL;
/* XXX: Are these really nescessary? */
/* As the name says, an empty tuple. */
static PyObject *empty_tuple = NULL;
/* For looking up name pairs in copyreg._extension_registry. */
static PyObject *two_tuple = NULL;
static int
stack_underflow(void)
{
PyErr_SetString(UnpicklingError, "unpickling stack underflow");
return -1;
}
/* Internal data type used as the unpickling stack. */
typedef struct {
PyObject_HEAD
int length; /* number of initial slots in data currently used */
int size; /* number of slots in data allocated */
PyObject **data;
} Pdata;
static void
Pdata_dealloc(Pdata *self)
{
int i;
PyObject **p;
for (i = self->length, p = self->data; --i >= 0; p++) {
Py_DECREF(*p);
}
if (self->data)
PyMem_Free(self->data);
PyObject_Del(self);
}
static PyTypeObject Pdata_Type = {
PyVarObject_HEAD_INIT(NULL, 0)
"_pickle.Pdata", /*tp_name*/
sizeof(Pdata), /*tp_basicsize*/
0, /*tp_itemsize*/
(destructor)Pdata_dealloc, /*tp_dealloc*/
};
static PyObject *
Pdata_New(void)
{
Pdata *self;
if (!(self = PyObject_New(Pdata, &Pdata_Type)))
return NULL;
self->size = 8;
self->length = 0;
self->data = PyMem_Malloc(self->size * sizeof(PyObject *));
if (self->data)
return (PyObject *)self;
Py_DECREF(self);
return PyErr_NoMemory();
}
/* Retain only the initial clearto items. If clearto >= the current
* number of items, this is a (non-erroneous) NOP.
*/
static int
Pdata_clear(Pdata *self, int clearto)
{
int i;
PyObject **p;
if (clearto < 0)
return stack_underflow();
if (clearto >= self->length)
return 0;
for (i = self->length, p = self->data + clearto; --i >= clearto; p++) {
Py_CLEAR(*p);
}
self->length = clearto;
return 0;
}
static int
Pdata_grow(Pdata *self)
{
int bigger;
size_t nbytes;
PyObject **tmp;
bigger = (self->size << 1) + 1;
if (bigger <= 0) /* was 0, or new value overflows */
goto nomemory;
if ((int)(size_t)bigger != bigger)
goto nomemory;
nbytes = (size_t)bigger * sizeof(PyObject *);
if (nbytes / sizeof(PyObject *) != (size_t)bigger)
goto nomemory;
tmp = PyMem_Realloc(self->data, nbytes);
if (tmp == NULL)
goto nomemory;
self->data = tmp;
self->size = bigger;
return 0;
nomemory:
PyErr_NoMemory();
return -1;
}
/* D is a Pdata*. Pop the topmost element and store it into V, which
* must be an lvalue holding PyObject*. On stack underflow, UnpicklingError
* is raised and V is set to NULL.
*/
static PyObject *
Pdata_pop(Pdata *self)
{
if (self->length == 0) {
PyErr_SetString(UnpicklingError, "bad pickle data");
return NULL;
}
return self->data[--(self->length)];
}
#define PDATA_POP(D, V) do { (V) = Pdata_pop((D)); } while (0)
static int
Pdata_push(Pdata *self, PyObject *obj)
{
if (self->length == self->size && Pdata_grow(self) < 0) {
return -1;
}
self->data[self->length++] = obj;
return 0;
}
/* Push an object on stack, transferring its ownership to the stack. */
#define PDATA_PUSH(D, O, ER) do { \
if (Pdata_push((D), (O)) < 0) return (ER); } while(0)
/* Push an object on stack, adding a new reference to the object. */
#define PDATA_APPEND(D, O, ER) do { \
Py_INCREF((O)); \
if (Pdata_push((D), (O)) < 0) return (ER); } while(0)
static PyObject *
Pdata_poptuple(Pdata *self, Py_ssize_t start)
{
PyObject *tuple;
Py_ssize_t len, i, j;
len = self->length - start;
tuple = PyTuple_New(len);
if (tuple == NULL)
return NULL;
for (i = start, j = 0; j < len; i++, j++)
PyTuple_SET_ITEM(tuple, j, self->data[i]);
self->length = start;
return tuple;
}
static PyObject *
Pdata_poplist(Pdata *self, Py_ssize_t start)
{
PyObject *list;
Py_ssize_t len, i, j;
len = self->length - start;
list = PyList_New(len);
if (list == NULL)
return NULL;
for (i = start, j = 0; j < len; i++, j++)
PyList_SET_ITEM(list, j, self->data[i]);
self->length = start;
return list;
}
typedef struct PicklerObject {
PyObject_HEAD
PyObject *write; /* write() method of the output stream */
PyObject *memo; /* Memo dictionary, keep track of the seen
objects to support self-referential objects
pickling. */
PyObject *pers_func; /* persistent_id() method, can be NULL */
PyObject *arg;
int proto; /* Pickle protocol number, >= 0 */
int bin; /* Boolean, true if proto > 0 */
int buf_size; /* Size of the current buffered pickle data */
char *write_buf; /* Write buffer, this is to avoid calling the
write() method of the output stream too
often. */
int fast; /* Enable fast mode if set to a true value.
The fast mode disable the usage of memo,
therefore speeding the pickling process by
not generating superfluous PUT opcodes. It
should not be used if with self-referential
objects. */
int fast_nesting;
int fix_imports; /* Indicate whether Pickler should fix
the name of globals for Python 2.x. */
PyObject *fast_memo;
} PicklerObject;
typedef struct UnpicklerObject {
PyObject_HEAD
Pdata *stack; /* Pickle data stack, store unpickled objects. */
PyObject *readline; /* readline() method of the output stream */
PyObject *read; /* read() method of the output stream */
PyObject *memo; /* Memo dictionary, provide the objects stored
using the PUT opcodes. */
PyObject *arg;
PyObject *pers_func; /* persistent_load() method, can be NULL. */
PyObject *last_string; /* Reference to the last string read by the
readline() method. */
char *buffer; /* Reading buffer. */
char *encoding; /* Name of the encoding to be used for
decoding strings pickled using Python
2.x. The default value is "ASCII" */
char *errors; /* Name of errors handling scheme to used when
decoding strings. The default value is
"strict". */
int *marks; /* Mark stack, used for unpickling container
objects. */
Py_ssize_t num_marks; /* Number of marks in the mark stack. */
Py_ssize_t marks_size; /* Current allocated size of the mark stack. */
int proto; /* Protocol of the pickle loaded. */
int fix_imports; /* Indicate whether Unpickler should fix
the name of globals pickled by Python 2.x. */
} UnpicklerObject;
/* Forward declarations */
static int save(PicklerObject *, PyObject *, int);
static int save_reduce(PicklerObject *, PyObject *, PyObject *);
static PyTypeObject Pickler_Type;
static PyTypeObject Unpickler_Type;
/* Helpers for creating the argument tuple passed to functions. This has the
performance advantage of calling PyTuple_New() only once. */
#define ARG_TUP(self, obj) do { \
if ((self)->arg || ((self)->arg=PyTuple_New(1))) { \
Py_XDECREF(PyTuple_GET_ITEM((self)->arg, 0)); \
PyTuple_SET_ITEM((self)->arg, 0, (obj)); \
} \
else { \
Py_DECREF((obj)); \
} \
} while (0)
#define FREE_ARG_TUP(self) do { \
if ((self)->arg->ob_refcnt > 1) \
Py_CLEAR((self)->arg); \
} while (0)
/* A temporary cleaner API for fast single argument function call.
XXX: Does caching the argument tuple provides any real performance benefits?
A quick benchmark, on a 2.0GHz Athlon64 3200+ running Linux 2.6.24 with
glibc 2.7, tells me that it takes roughly 20,000,000 PyTuple_New(1) calls
when the tuple is retrieved from the freelist (i.e, call PyTuple_New() then
immediately DECREF it) and 1,200,000 calls when allocating brand new tuples
(i.e, call PyTuple_New() and store the returned value in an array), to save
one second (wall clock time). Either ways, the loading time a pickle stream
large enough to generate this number of calls would be massively
overwhelmed by other factors, like I/O throughput, the GC traversal and
object allocation overhead. So, I really doubt these functions provide any
real benefits.
On the other hand, oprofile reports that pickle spends a lot of time in
these functions. But, that is probably more related to the function call
overhead, than the argument tuple allocation.
XXX: And, what is the reference behavior of these? Steal, borrow? At first
glance, it seems to steal the reference of 'arg' and borrow the reference
of 'func'.
*/
static PyObject *
pickler_call(PicklerObject *self, PyObject *func, PyObject *arg)
{
PyObject *result = NULL;
ARG_TUP(self, arg);
if (self->arg) {
result = PyObject_Call(func, self->arg, NULL);
FREE_ARG_TUP(self);
}
return result;
}
static PyObject *
unpickler_call(UnpicklerObject *self, PyObject *func, PyObject *arg)
{
PyObject *result = NULL;
ARG_TUP(self, arg);
if (self->arg) {
result = PyObject_Call(func, self->arg, NULL);
FREE_ARG_TUP(self);
}
return result;
}
static Py_ssize_t
pickler_write(PicklerObject *self, const char *s, Py_ssize_t n)
{
PyObject *data, *result;
if (self->write_buf == NULL) {
PyErr_SetString(PyExc_SystemError, "invalid write buffer");
return -1;
}
if (s == NULL) {
if (!(self->buf_size))
return 0;
data = PyBytes_FromStringAndSize(self->write_buf, self->buf_size);
if (data == NULL)
return -1;
}
else {
if (self->buf_size && (n + self->buf_size) > WRITE_BUF_SIZE) {
if (pickler_write(self, NULL, 0) < 0)
return -1;
}
if (n > WRITE_BUF_SIZE) {
if (!(data = PyBytes_FromStringAndSize(s, n)))
return -1;
}
else {
memcpy(self->write_buf + self->buf_size, s, n);
self->buf_size += n;
return n;
}
}
/* object with write method */
result = pickler_call(self, self->write, data);
if (result == NULL)
return -1;
Py_DECREF(result);
self->buf_size = 0;
return n;
}
/* XXX: These read/readline functions ought to be optimized. Buffered I/O
might help a lot, especially with the new (but much slower) io library.
On the other hand, the added complexity might not worth it.
*/
/* Read at least n characters from the input stream and set s to the current
reading position. */
static Py_ssize_t
unpickler_read(UnpicklerObject *self, char **s, Py_ssize_t n)
{
PyObject *len;
PyObject *data;
len = PyLong_FromSsize_t(n);
if (len == NULL)
return -1;
data = unpickler_call(self, self->read, len);
if (data == NULL)
return -1;
/* XXX: Should bytearray be supported too? */
if (!PyBytes_Check(data)) {
PyErr_SetString(PyExc_ValueError,
"read() from the underlying stream did not "
"return bytes");
Py_DECREF(data);
return -1;
}
if (PyBytes_GET_SIZE(data) != n) {
PyErr_SetNone(PyExc_EOFError);
Py_DECREF(data);
return -1;
}
Py_XDECREF(self->last_string);
self->last_string = data;
if (!(*s = PyBytes_AS_STRING(data)))
return -1;
return n;
}
static Py_ssize_t
unpickler_readline(UnpicklerObject *self, char **s)
{
PyObject *data;
data = PyObject_CallObject(self->readline, empty_tuple);
if (data == NULL)
return -1;
/* XXX: Should bytearray be supported too? */
if (!PyBytes_Check(data)) {
PyErr_SetString(PyExc_ValueError,
"readline() from the underlying stream did not "
"return bytes");
return -1;
}
Py_XDECREF(self->last_string);
self->last_string = data;
if (!(*s = PyBytes_AS_STRING(data)))
return -1;
return PyBytes_GET_SIZE(data);
}
/* Generate a GET opcode for an object stored in the memo. The 'key' argument
should be the address of the object as returned by PyLong_FromVoidPtr(). */
static int
memo_get(PicklerObject *self, PyObject *key)
{
PyObject *value;
PyObject *memo_id;
long x;
char pdata[30];
int len;
value = PyDict_GetItemWithError(self->memo, key);
if (value == NULL) {
if (!PyErr_Occurred())
PyErr_SetObject(PyExc_KeyError, key);
return -1;
}
memo_id = PyTuple_GetItem(value, 0);
if (memo_id == NULL)
return -1;
if (!PyLong_Check(memo_id)) {
PyErr_SetString(PicklingError, "memo id must be an integer");
return -1;
}
x = PyLong_AsLong(memo_id);
if (x == -1 && PyErr_Occurred())
return -1;
if (!self->bin) {
pdata[0] = GET;
PyOS_snprintf(pdata + 1, sizeof(pdata) - 1, "%ld\n", x);
len = (int)strlen(pdata);
}
else {
if (x < 256) {
pdata[0] = BINGET;
pdata[1] = (unsigned char)(x & 0xff);
len = 2;
}
else if (x <= 0xffffffffL) {
pdata[0] = LONG_BINGET;
pdata[1] = (unsigned char)(x & 0xff);
pdata[2] = (unsigned char)((x >> 8) & 0xff);
pdata[3] = (unsigned char)((x >> 16) & 0xff);
pdata[4] = (unsigned char)((x >> 24) & 0xff);
len = 5;
}
else { /* unlikely */
PyErr_SetString(PicklingError,
"memo id too large for LONG_BINGET");
return -1;
}
}
if (pickler_write(self, pdata, len) < 0)
return -1;
return 0;
}
/* Store an object in the memo, assign it a new unique ID based on the number
of objects currently stored in the memo and generate a PUT opcode. */
static int
memo_put(PicklerObject *self, PyObject *obj)
{
PyObject *key = NULL;
PyObject *memo_id = NULL;
PyObject *tuple = NULL;
long x;
char pdata[30];
int len;
int status = 0;
if (self->fast)
return 0;
key = PyLong_FromVoidPtr(obj);
if (key == NULL)
goto error;
if ((x = PyDict_Size(self->memo)) < 0)
goto error;
memo_id = PyLong_FromLong(x);
if (memo_id == NULL)
goto error;
tuple = PyTuple_New(2);
if (tuple == NULL)
goto error;
Py_INCREF(memo_id);
PyTuple_SET_ITEM(tuple, 0, memo_id);
Py_INCREF(obj);
PyTuple_SET_ITEM(tuple, 1, obj);
if (PyDict_SetItem(self->memo, key, tuple) < 0)
goto error;
if (!self->bin) {
pdata[0] = PUT;
PyOS_snprintf(pdata + 1, sizeof(pdata) - 1, "%ld\n", x);
len = strlen(pdata);
}
else {
if (x < 256) {
pdata[0] = BINPUT;
pdata[1] = (unsigned char)x;
len = 2;
}
else if (x <= 0xffffffffL) {
pdata[0] = LONG_BINPUT;
pdata[1] = (unsigned char)(x & 0xff);
pdata[2] = (unsigned char)((x >> 8) & 0xff);
pdata[3] = (unsigned char)((x >> 16) & 0xff);
pdata[4] = (unsigned char)((x >> 24) & 0xff);
len = 5;
}
else { /* unlikely */
PyErr_SetString(PicklingError,
"memo id too large for LONG_BINPUT");
return -1;
}
}
if (pickler_write(self, pdata, len) < 0)
goto error;
if (0) {
error:
status = -1;
}
Py_XDECREF(key);
Py_XDECREF(memo_id);
Py_XDECREF(tuple);
return status;
}
static PyObject *
whichmodule(PyObject *global, PyObject *global_name)
{
Py_ssize_t i, j;
static PyObject *module_str = NULL;
static PyObject *main_str = NULL;
PyObject *module_name;
PyObject *modules_dict;
PyObject *module;
PyObject *obj;
if (module_str == NULL) {
module_str = PyUnicode_InternFromString("__module__");
if (module_str == NULL)
return NULL;
main_str = PyUnicode_InternFromString("__main__");
if (main_str == NULL)
return NULL;
}
module_name = PyObject_GetAttr(global, module_str);
/* In some rare cases (e.g., bound methods of extension types),
__module__ can be None. If it is so, then search sys.modules
for the module of global. */
if (module_name == Py_None) {
Py_DECREF(module_name);
goto search;
}
if (module_name) {
return module_name;
}
if (PyErr_ExceptionMatches(PyExc_AttributeError))
PyErr_Clear();
else
return NULL;
search:
modules_dict = PySys_GetObject("modules");
if (modules_dict == NULL)
return NULL;
i = 0;
module_name = NULL;
while ((j = PyDict_Next(modules_dict, &i, &module_name, &module))) {
if (PyObject_RichCompareBool(module_name, main_str, Py_EQ) == 1)
continue;
obj = PyObject_GetAttr(module, global_name);
if (obj == NULL) {
if (PyErr_ExceptionMatches(PyExc_AttributeError))
PyErr_Clear();
else
return NULL;
continue;
}
if (obj != global) {
Py_DECREF(obj);
continue;
}
Py_DECREF(obj);
break;
}
/* If no module is found, use __main__. */
if (!j) {
module_name = main_str;
}
Py_INCREF(module_name);
return module_name;
}
/* fast_save_enter() and fast_save_leave() are guards against recursive
objects when Pickler is used with the "fast mode" (i.e., with object
memoization disabled). If the nesting of a list or dict object exceed
FAST_NESTING_LIMIT, these guards will start keeping an internal
reference to the seen list or dict objects and check whether these objects
are recursive. These are not strictly necessary, since save() has a
hard-coded recursion limit, but they give a nicer error message than the
typical RuntimeError. */
static int
fast_save_enter(PicklerObject *self, PyObject *obj)
{
/* if fast_nesting < 0, we're doing an error exit. */
if (++self->fast_nesting >= FAST_NESTING_LIMIT) {
PyObject *key = NULL;
if (self->fast_memo == NULL) {
self->fast_memo = PyDict_New();
if (self->fast_memo == NULL) {
self->fast_nesting = -1;
return 0;
}
}
key = PyLong_FromVoidPtr(obj);
if (key == NULL)
return 0;
if (PyDict_GetItem(self->fast_memo, key)) {
Py_DECREF(key);
PyErr_Format(PyExc_ValueError,
"fast mode: can't pickle cyclic objects "
"including object type %.200s at %p",
obj->ob_type->tp_name, obj);
self->fast_nesting = -1;
return 0;
}
if (PyDict_SetItem(self->fast_memo, key, Py_None) < 0) {
Py_DECREF(key);
self->fast_nesting = -1;
return 0;
}
Py_DECREF(key);
}
return 1;
}
static int
fast_save_leave(PicklerObject *self, PyObject *obj)
{
if (self->fast_nesting-- >= FAST_NESTING_LIMIT) {
PyObject *key = PyLong_FromVoidPtr(obj);
if (key == NULL)
return 0;
if (PyDict_DelItem(self->fast_memo, key) < 0) {
Py_DECREF(key);
return 0;
}
Py_DECREF(key);
}
return 1;
}
static int
save_none(PicklerObject *self, PyObject *obj)
{
const char none_op = NONE;
if (pickler_write(self, &none_op, 1) < 0)
return -1;
return 0;
}
static int
save_bool(PicklerObject *self, PyObject *obj)
{
static const char *buf[2] = { FALSE, TRUE };
const char len[2] = {sizeof(FALSE) - 1, sizeof(TRUE) - 1};
int p = (obj == Py_True);
if (self->proto >= 2) {
const char bool_op = p ? NEWTRUE : NEWFALSE;
if (pickler_write(self, &bool_op, 1) < 0)
return -1;
}
else if (pickler_write(self, buf[p], len[p]) < 0)
return -1;
return 0;
}
static int
save_int(PicklerObject *self, long x)
{
char pdata[32];
int len = 0;
if (!self->bin
#if SIZEOF_LONG > 4
|| x > 0x7fffffffL || x < -0x80000000L
#endif
) {
/* Text-mode pickle, or long too big to fit in the 4-byte
* signed BININT format: store as a string.
*/
pdata[0] = LONG; /* use LONG for consistency with pickle.py */
PyOS_snprintf(pdata + 1, sizeof(pdata) - 1, "%ldL\n", x);
if (pickler_write(self, pdata, strlen(pdata)) < 0)
return -1;
}
else {
/* Binary pickle and x fits in a signed 4-byte int. */
pdata[1] = (unsigned char)(x & 0xff);
pdata[2] = (unsigned char)((x >> 8) & 0xff);
pdata[3] = (unsigned char)((x >> 16) & 0xff);
pdata[4] = (unsigned char)((x >> 24) & 0xff);
if ((pdata[4] == 0) && (pdata[3] == 0)) {
if (pdata[2] == 0) {
pdata[0] = BININT1;
len = 2;
}
else {
pdata[0] = BININT2;
len = 3;
}
}
else {
pdata[0] = BININT;
len = 5;
}
if (pickler_write(self, pdata, len) < 0)
return -1;
}
return 0;
}
static int
save_long(PicklerObject *self, PyObject *obj)
{
PyObject *repr = NULL;
Py_ssize_t size;
long val = PyLong_AsLong(obj);
int status = 0;
const char long_op = LONG;
if (val == -1 && PyErr_Occurred()) {
/* out of range for int pickling */
PyErr_Clear();
}
else
return save_int(self, val);
if (self->proto >= 2) {
/* Linear-time pickling. */
size_t nbits;
size_t nbytes;
unsigned char *pdata;
char header[5];
int i;
int sign = _PyLong_Sign(obj);
if (sign == 0) {
header[0] = LONG1;
header[1] = 0; /* It's 0 -- an empty bytestring. */
if (pickler_write(self, header, 2) < 0)
goto error;
return 0;
}
nbits = _PyLong_NumBits(obj);
if (nbits == (size_t)-1 && PyErr_Occurred())
goto error;
/* How many bytes do we need? There are nbits >> 3 full
* bytes of data, and nbits & 7 leftover bits. If there
* are any leftover bits, then we clearly need another
* byte. Wnat's not so obvious is that we *probably*
* need another byte even if there aren't any leftovers:
* the most-significant bit of the most-significant byte
* acts like a sign bit, and it's usually got a sense
* opposite of the one we need. The exception is longs
* of the form -(2**(8*j-1)) for j > 0. Such a long is
* its own 256's-complement, so has the right sign bit
* even without the extra byte. That's a pain to check
* for in advance, though, so we always grab an extra
* byte at the start, and cut it back later if possible.
*/
nbytes = (nbits >> 3) + 1;
if (nbytes > INT_MAX) {
PyErr_SetString(PyExc_OverflowError,
"long too large to pickle");
goto error;
}
repr = PyBytes_FromStringAndSize(NULL, (Py_ssize_t)nbytes);
if (repr == NULL)
goto error;
pdata = (unsigned char *)PyBytes_AS_STRING(repr);
i = _PyLong_AsByteArray((PyLongObject *)obj,
pdata, nbytes,
1 /* little endian */ , 1 /* signed */ );
if (i < 0)
goto error;
/* If the long is negative, this may be a byte more than
* needed. This is so iff the MSB is all redundant sign
* bits.
*/
if (sign < 0 &&
nbytes > 1 &&
pdata[nbytes - 1] == 0xff &&
(pdata[nbytes - 2] & 0x80) != 0) {
nbytes--;
}
if (nbytes < 256) {
header[0] = LONG1;
header[1] = (unsigned char)nbytes;
size = 2;
}
else {
header[0] = LONG4;
size = (int)nbytes;
for (i = 1; i < 5; i++) {
header[i] = (unsigned char)(size & 0xff);
size >>= 8;
}
size = 5;
}
if (pickler_write(self, header, size) < 0 ||
pickler_write(self, (char *)pdata, (int)nbytes) < 0)
goto error;
}
else {
char *string;
/* proto < 2: write the repr and newline. This is quadratic-time (in
the number of digits), in both directions. We add a trailing 'L'
to the repr, for compatibility with Python 2.x. */
repr = PyObject_Repr(obj);
if (repr == NULL)
goto error;
string = _PyUnicode_AsStringAndSize(repr, &size);
if (string == NULL)
goto error;
if (pickler_write(self, &long_op, 1) < 0 ||
pickler_write(self, string, size) < 0 ||
pickler_write(self, "L\n", 2) < 0)
goto error;
}
if (0) {
error:
status = -1;
}
Py_XDECREF(repr);
return status;
}
static int
save_float(PicklerObject *self, PyObject *obj)
{
double x = PyFloat_AS_DOUBLE((PyFloatObject *)obj);
if (self->bin) {
char pdata[9];
pdata[0] = BINFLOAT;
if (_PyFloat_Pack8(x, (unsigned char *)&pdata[1], 0) < 0)
return -1;
if (pickler_write(self, pdata, 9) < 0)
return -1;
}
else {
int result = -1;
char *buf = NULL;
char op = FLOAT;
if (pickler_write(self, &op, 1) < 0)
goto done;
buf = PyOS_double_to_string(x, 'g', 17, 0, NULL);
if (!buf) {
PyErr_NoMemory();
goto done;
}
if (pickler_write(self, buf, strlen(buf)) < 0)
goto done;
if (pickler_write(self, "\n", 1) < 0)
goto done;
result = 0;
done:
PyMem_Free(buf);
return result;
}
return 0;
}
static int
save_bytes(PicklerObject *self, PyObject *obj)
{
if (self->proto < 3) {
/* Older pickle protocols do not have an opcode for pickling bytes
objects. Therefore, we need to fake the copy protocol (i.e.,
the __reduce__ method) to permit bytes object unpickling. */
PyObject *reduce_value = NULL;
PyObject *bytelist = NULL;
int status;
bytelist = PySequence_List(obj);
if (bytelist == NULL)
return -1;
reduce_value = Py_BuildValue("(O(O))", (PyObject *)&PyBytes_Type,
bytelist);
if (reduce_value == NULL) {
Py_DECREF(bytelist);
return -1;
}
/* save_reduce() will memoize the object automatically. */
status = save_reduce(self, reduce_value, obj);
Py_DECREF(reduce_value);
Py_DECREF(bytelist);
return status;
}
else {
Py_ssize_t size;
char header[5];
int len;
size = PyBytes_Size(obj);
if (size < 0)
return -1;
if (size < 256) {
header[0] = SHORT_BINBYTES;
header[1] = (unsigned char)size;
len = 2;
}
else if (size <= 0xffffffffL) {
header[0] = BINBYTES;
header[1] = (unsigned char)(size & 0xff);
header[2] = (unsigned char)((size >> 8) & 0xff);
header[3] = (unsigned char)((size >> 16) & 0xff);
header[4] = (unsigned char)((size >> 24) & 0xff);
len = 5;
}
else {
return -1; /* string too large */
}
if (pickler_write(self, header, len) < 0)
return -1;
if (pickler_write(self, PyBytes_AS_STRING(obj), size) < 0)
return -1;
if (memo_put(self, obj) < 0)
return -1;
return 0;
}
}
/* A copy of PyUnicode_EncodeRawUnicodeEscape() that also translates
backslash and newline characters to \uXXXX escapes. */
static PyObject *
raw_unicode_escape(const Py_UNICODE *s, Py_ssize_t size)
{
PyObject *repr, *result;
char *p;
char *q;
static const char *hexdigits = "0123456789abcdef";
#ifdef Py_UNICODE_WIDE
const Py_ssize_t expandsize = 10;
#else
const Py_ssize_t expandsize = 6;
#endif
if (size > PY_SSIZE_T_MAX / expandsize)
return PyErr_NoMemory();
repr = PyByteArray_FromStringAndSize(NULL, expandsize * size);
if (repr == NULL)
return NULL;
if (size == 0)
goto done;
p = q = PyByteArray_AS_STRING(repr);
while (size-- > 0) {
Py_UNICODE ch = *s++;
#ifdef Py_UNICODE_WIDE
/* Map 32-bit characters to '\Uxxxxxxxx' */
if (ch >= 0x10000) {
*p++ = '\\';
*p++ = 'U';
*p++ = hexdigits[(ch >> 28) & 0xf];
*p++ = hexdigits[(ch >> 24) & 0xf];
*p++ = hexdigits[(ch >> 20) & 0xf];
*p++ = hexdigits[(ch >> 16) & 0xf];
*p++ = hexdigits[(ch >> 12) & 0xf];
*p++ = hexdigits[(ch >> 8) & 0xf];
*p++ = hexdigits[(ch >> 4) & 0xf];
*p++ = hexdigits[ch & 15];
}
else
#else
/* Map UTF-16 surrogate pairs to '\U00xxxxxx' */
if (ch >= 0xD800 && ch < 0xDC00) {
Py_UNICODE ch2;
Py_UCS4 ucs;
ch2 = *s++;
size--;
if (ch2 >= 0xDC00 && ch2 <= 0xDFFF) {
ucs = (((ch & 0x03FF) << 10) | (ch2 & 0x03FF)) + 0x00010000;
*p++ = '\\';
*p++ = 'U';
*p++ = hexdigits[(ucs >> 28) & 0xf];
*p++ = hexdigits[(ucs >> 24) & 0xf];
*p++ = hexdigits[(ucs >> 20) & 0xf];
*p++ = hexdigits[(ucs >> 16) & 0xf];
*p++ = hexdigits[(ucs >> 12) & 0xf];
*p++ = hexdigits[(ucs >> 8) & 0xf];
*p++ = hexdigits[(ucs >> 4) & 0xf];
*p++ = hexdigits[ucs & 0xf];
continue;
}
/* Fall through: isolated surrogates are copied as-is */
s--;
size++;
}
#endif
/* Map 16-bit characters to '\uxxxx' */
if (ch >= 256 || ch == '\\' || ch == '\n') {
*p++ = '\\';
*p++ = 'u';
*p++ = hexdigits[(ch >> 12) & 0xf];
*p++ = hexdigits[(ch >> 8) & 0xf];
*p++ = hexdigits[(ch >> 4) & 0xf];
*p++ = hexdigits[ch & 15];
}
/* Copy everything else as-is */
else
*p++ = (char) ch;
}
size = p - q;
done:
result = PyBytes_FromStringAndSize(PyByteArray_AS_STRING(repr), size);
Py_DECREF(repr);
return result;
}
static int
save_unicode(PicklerObject *self, PyObject *obj)
{
Py_ssize_t size;
PyObject *encoded = NULL;
if (self->bin) {
char pdata[5];
encoded = PyUnicode_EncodeUTF8(PyUnicode_AS_UNICODE(obj),
PyUnicode_GET_SIZE(obj),
"surrogatepass");
if (encoded == NULL)
goto error;
size = PyBytes_GET_SIZE(encoded);
if (size < 0 || size > 0xffffffffL)
goto error; /* string too large */
pdata[0] = BINUNICODE;
pdata[1] = (unsigned char)(size & 0xff);
pdata[2] = (unsigned char)((size >> 8) & 0xff);
pdata[3] = (unsigned char)((size >> 16) & 0xff);
pdata[4] = (unsigned char)((size >> 24) & 0xff);
if (pickler_write(self, pdata, 5) < 0)
goto error;
if (pickler_write(self, PyBytes_AS_STRING(encoded), size) < 0)
goto error;
}
else {
const char unicode_op = UNICODE;
encoded = raw_unicode_escape(PyUnicode_AS_UNICODE(obj),
PyUnicode_GET_SIZE(obj));
if (encoded == NULL)
goto error;
if (pickler_write(self, &unicode_op, 1) < 0)
goto error;
size = PyBytes_GET_SIZE(encoded);
if (pickler_write(self, PyBytes_AS_STRING(encoded), size) < 0)
goto error;
if (pickler_write(self, "\n", 1) < 0)
goto error;
}
if (memo_put(self, obj) < 0)
goto error;
Py_DECREF(encoded);
return 0;
error:
Py_XDECREF(encoded);
return -1;
}
/* A helper for save_tuple. Push the len elements in tuple t on the stack. */
static int
store_tuple_elements(PicklerObject *self, PyObject *t, int len)
{
int i;
assert(PyTuple_Size(t) == len);
for (i = 0; i < len; i++) {
PyObject *element = PyTuple_GET_ITEM(t, i);
if (element == NULL)
return -1;
if (save(self, element, 0) < 0)
return -1;
}
return 0;
}
/* Tuples are ubiquitous in the pickle protocols, so many techniques are
* used across protocols to minimize the space needed to pickle them.
* Tuples are also the only builtin immutable type that can be recursive
* (a tuple can be reached from itself), and that requires some subtle
* magic so that it works in all cases. IOW, this is a long routine.
*/
static int
save_tuple(PicklerObject *self, PyObject *obj)
{
PyObject *memo_key = NULL;
int len, i;
int status = 0;
const char mark_op = MARK;
const char tuple_op = TUPLE;
const char pop_op = POP;
const char pop_mark_op = POP_MARK;
const char len2opcode[] = {EMPTY_TUPLE, TUPLE1, TUPLE2, TUPLE3};
if ((len = PyTuple_Size(obj)) < 0)
return -1;
if (len == 0) {
char pdata[2];
if (self->proto) {
pdata[0] = EMPTY_TUPLE;
len = 1;
}
else {
pdata[0] = MARK;
pdata[1] = TUPLE;
len = 2;
}
if (pickler_write(self, pdata, len) < 0)
return -1;
return 0;
}
/* id(tuple) isn't in the memo now. If it shows up there after
* saving the tuple elements, the tuple must be recursive, in
* which case we'll pop everything we put on the stack, and fetch
* its value from the memo.
*/
memo_key = PyLong_FromVoidPtr(obj);
if (memo_key == NULL)
return -1;
if (len <= 3 && self->proto >= 2) {
/* Use TUPLE{1,2,3} opcodes. */
if (store_tuple_elements(self, obj, len) < 0)
goto error;
if (PyDict_GetItem(self->memo, memo_key)) {
/* pop the len elements */
for (i = 0; i < len; i++)
if (pickler_write(self, &pop_op, 1) < 0)
goto error;
/* fetch from memo */
if (memo_get(self, memo_key) < 0)
goto error;
Py_DECREF(memo_key);
return 0;
}
else { /* Not recursive. */
if (pickler_write(self, len2opcode + len, 1) < 0)
goto error;
}
goto memoize;
}
/* proto < 2 and len > 0, or proto >= 2 and len > 3.
* Generate MARK e1 e2 ... TUPLE
*/
if (pickler_write(self, &mark_op, 1) < 0)
goto error;
if (store_tuple_elements(self, obj, len) < 0)
goto error;
if (PyDict_GetItem(self->memo, memo_key)) {
/* pop the stack stuff we pushed */
if (self->bin) {
if (pickler_write(self, &pop_mark_op, 1) < 0)
goto error;
}
else {
/* Note that we pop one more than len, to remove
* the MARK too.
*/
for (i = 0; i <= len; i++)
if (pickler_write(self, &pop_op, 1) < 0)
goto error;
}
/* fetch from memo */
if (memo_get(self, memo_key) < 0)
goto error;
Py_DECREF(memo_key);
return 0;
}
else { /* Not recursive. */
if (pickler_write(self, &tuple_op, 1) < 0)
goto error;
}
memoize:
if (memo_put(self, obj) < 0)
goto error;
if (0) {
error:
status = -1;
}
Py_DECREF(memo_key);
return status;
}
/* iter is an iterator giving items, and we batch up chunks of
* MARK item item ... item APPENDS
* opcode sequences. Calling code should have arranged to first create an
* empty list, or list-like object, for the APPENDS to operate on.
* Returns 0 on success, <0 on error.
*/
static int
batch_list(PicklerObject *self, PyObject *iter)
{
PyObject *obj = NULL;
PyObject *firstitem = NULL;
int i, n;
const char mark_op = MARK;
const char append_op = APPEND;
const char appends_op = APPENDS;
assert(iter != NULL);
/* XXX: I think this function could be made faster by avoiding the
iterator interface and fetching objects directly from list using
PyList_GET_ITEM.
*/
if (self->proto == 0) {
/* APPENDS isn't available; do one at a time. */
for (;;) {
obj = PyIter_Next(iter);
if (obj == NULL) {
if (PyErr_Occurred())
return -1;
break;
}
i = save(self, obj, 0);
Py_DECREF(obj);
if (i < 0)
return -1;
if (pickler_write(self, &append_op, 1) < 0)
return -1;
}
return 0;
}
/* proto > 0: write in batches of BATCHSIZE. */
do {
/* Get first item */
firstitem = PyIter_Next(iter);
if (firstitem == NULL) {
if (PyErr_Occurred())
goto error;
/* nothing more to add */
break;
}
/* Try to get a second item */
obj = PyIter_Next(iter);
if (obj == NULL) {
if (PyErr_Occurred())
goto error;
/* Only one item to write */
if (save(self, firstitem, 0) < 0)
goto error;
if (pickler_write(self, &append_op, 1) < 0)
goto error;
Py_CLEAR(firstitem);
break;
}
/* More than one item to write */
/* Pump out MARK, items, APPENDS. */
if (pickler_write(self, &mark_op, 1) < 0)
goto error;
if (save(self, firstitem, 0) < 0)
goto error;
Py_CLEAR(firstitem);
n = 1;
/* Fetch and save up to BATCHSIZE items */
while (obj) {
if (save(self, obj, 0) < 0)
goto error;
Py_CLEAR(obj);
n += 1;
if (n == BATCHSIZE)
break;
obj = PyIter_Next(iter);
if (obj == NULL) {
if (PyErr_Occurred())
goto error;
break;
}
}
if (pickler_write(self, &appends_op, 1) < 0)
goto error;
} while (n == BATCHSIZE);
return 0;
error:
Py_XDECREF(firstitem);
Py_XDECREF(obj);
return -1;
}
static int
save_list(PicklerObject *self, PyObject *obj)
{
PyObject *iter;
char header[3];
int len;
int status = 0;
if (self->fast && !fast_save_enter(self, obj))
goto error;
/* Create an empty list. */
if (self->bin) {
header[0] = EMPTY_LIST;
len = 1;
}
else {
header[0] = MARK;
header[1] = LIST;
len = 2;
}
if (pickler_write(self, header, len) < 0)
goto error;
/* Get list length, and bow out early if empty. */
if ((len = PyList_Size(obj)) < 0)
goto error;
if (memo_put(self, obj) < 0)
goto error;
if (len != 0) {
/* Save the list elements. */
iter = PyObject_GetIter(obj);
if (iter == NULL)
goto error;
if (Py_EnterRecursiveCall(" while pickling an object")) {
Py_DECREF(iter);
goto error;
}
status = batch_list(self, iter);
Py_LeaveRecursiveCall();
Py_DECREF(iter);
}
if (0) {
error:
status = -1;
}
if (self->fast && !fast_save_leave(self, obj))
status = -1;
return status;
}
/* iter is an iterator giving (key, value) pairs, and we batch up chunks of
* MARK key value ... key value SETITEMS
* opcode sequences. Calling code should have arranged to first create an
* empty dict, or dict-like object, for the SETITEMS to operate on.
* Returns 0 on success, <0 on error.
*
* This is very much like batch_list(). The difference between saving
* elements directly, and picking apart two-tuples, is so long-winded at
* the C level, though, that attempts to combine these routines were too
* ugly to bear.
*/
static int
batch_dict(PicklerObject *self, PyObject *iter)
{
PyObject *obj = NULL;
PyObject *firstitem = NULL;
int i, n;
const char mark_op = MARK;
const char setitem_op = SETITEM;
const char setitems_op = SETITEMS;
assert(iter != NULL);
if (self->proto == 0) {
/* SETITEMS isn't available; do one at a time. */
for (;;) {
obj = PyIter_Next(iter);
if (obj == NULL) {
if (PyErr_Occurred())
return -1;
break;
}
if (!PyTuple_Check(obj) || PyTuple_Size(obj) != 2) {
PyErr_SetString(PyExc_TypeError, "dict items "
"iterator must return 2-tuples");
return -1;
}
i = save(self, PyTuple_GET_ITEM(obj, 0), 0);
if (i >= 0)
i = save(self, PyTuple_GET_ITEM(obj, 1), 0);
Py_DECREF(obj);
if (i < 0)
return -1;
if (pickler_write(self, &setitem_op, 1) < 0)
return -1;
}
return 0;
}
/* proto > 0: write in batches of BATCHSIZE. */
do {
/* Get first item */
firstitem = PyIter_Next(iter);
if (firstitem == NULL) {
if (PyErr_Occurred())
goto error;
/* nothing more to add */
break;
}
if (!PyTuple_Check(firstitem) || PyTuple_Size(firstitem) != 2) {
PyErr_SetString(PyExc_TypeError, "dict items "
"iterator must return 2-tuples");
goto error;
}
/* Try to get a second item */
obj = PyIter_Next(iter);
if (obj == NULL) {
if (PyErr_Occurred())
goto error;
/* Only one item to write */
if (save(self, PyTuple_GET_ITEM(firstitem, 0), 0) < 0)
goto error;
if (save(self, PyTuple_GET_ITEM(firstitem, 1), 0) < 0)
goto error;
if (pickler_write(self, &setitem_op, 1) < 0)
goto error;
Py_CLEAR(firstitem);
break;
}
/* More than one item to write */
/* Pump out MARK, items, SETITEMS. */
if (pickler_write(self, &mark_op, 1) < 0)
goto error;
if (save(self, PyTuple_GET_ITEM(firstitem, 0), 0) < 0)
goto error;
if (save(self, PyTuple_GET_ITEM(firstitem, 1), 0) < 0)
goto error;
Py_CLEAR(firstitem);
n = 1;
/* Fetch and save up to BATCHSIZE items */
while (obj) {
if (!PyTuple_Check(obj) || PyTuple_Size(obj) != 2) {
PyErr_SetString(PyExc_TypeError, "dict items "
"iterator must return 2-tuples");
goto error;
}
if (save(self, PyTuple_GET_ITEM(obj, 0), 0) < 0 ||
save(self, PyTuple_GET_ITEM(obj, 1), 0) < 0)
goto error;
Py_CLEAR(obj);
n += 1;
if (n == BATCHSIZE)
break;
obj = PyIter_Next(iter);
if (obj == NULL) {
if (PyErr_Occurred())
goto error;
break;
}
}
if (pickler_write(self, &setitems_op, 1) < 0)
goto error;
} while (n == BATCHSIZE);
return 0;
error:
Py_XDECREF(firstitem);
Py_XDECREF(obj);
return -1;
}
/* This is a variant of batch_dict() above that specializes for dicts, with no
* support for dict subclasses. Like batch_dict(), we batch up chunks of
* MARK key value ... key value SETITEMS
* opcode sequences. Calling code should have arranged to first create an
* empty dict, or dict-like object, for the SETITEMS to operate on.
* Returns 0 on success, -1 on error.
*
* Note that this currently doesn't work for protocol 0.
*/
static int
batch_dict_exact(PicklerObject *self, PyObject *obj)
{
PyObject *key = NULL, *value = NULL;
int i;
Py_ssize_t dict_size, ppos = 0;
const char mark_op = MARK;
const char setitem_op = SETITEM;
const char setitems_op = SETITEMS;
assert(obj != NULL);
assert(self->proto > 0);
dict_size = PyDict_Size(obj);
/* Special-case len(d) == 1 to save space. */
if (dict_size == 1) {
PyDict_Next(obj, &ppos, &key, &value);
if (save(self, key, 0) < 0)
return -1;
if (save(self, value, 0) < 0)
return -1;
if (pickler_write(self, &setitem_op, 1) < 0)
return -1;
return 0;
}
/* Write in batches of BATCHSIZE. */
do {
i = 0;
if (pickler_write(self, &mark_op, 1) < 0)
return -1;
while (PyDict_Next(obj, &ppos, &key, &value)) {
if (save(self, key, 0) < 0)
return -1;
if (save(self, value, 0) < 0)
return -1;
if (++i == BATCHSIZE)
break;
}
if (pickler_write(self, &setitems_op, 1) < 0)
return -1;
if (PyDict_Size(obj) != dict_size) {
PyErr_Format(
PyExc_RuntimeError,
"dictionary changed size during iteration");
return -1;
}
} while (i == BATCHSIZE);
return 0;
}
static int
save_dict(PicklerObject *self, PyObject *obj)
{
PyObject *items, *iter;
char header[3];
int len;
int status = 0;
if (self->fast && !fast_save_enter(self, obj))
goto error;
/* Create an empty dict. */
if (self->bin) {
header[0] = EMPTY_DICT;
len = 1;
}
else {
header[0] = MARK;
header[1] = DICT;
len = 2;
}
if (pickler_write(self, header, len) < 0)
goto error;
/* Get dict size, and bow out early if empty. */
if ((len = PyDict_Size(obj)) < 0)
goto error;
if (memo_put(self, obj) < 0)
goto error;
if (len != 0) {
/* Save the dict items. */
if (PyDict_CheckExact(obj) && self->proto > 0) {
/* We can take certain shortcuts if we know this is a dict and
not a dict subclass. */
if (Py_EnterRecursiveCall(" while pickling an object"))
goto error;
status = batch_dict_exact(self, obj);
Py_LeaveRecursiveCall();
} else {
items = PyObject_CallMethod(obj, "items", "()");
if (items == NULL)
goto error;
iter = PyObject_GetIter(items);
Py_DECREF(items);
if (iter == NULL)
goto error;
if (Py_EnterRecursiveCall(" while pickling an object")) {
Py_DECREF(iter);
goto error;
}
status = batch_dict(self, iter);
Py_LeaveRecursiveCall();
Py_DECREF(iter);
}
}
if (0) {
error:
status = -1;
}
if (self->fast && !fast_save_leave(self, obj))
status = -1;
return status;
}
static int
save_global(PicklerObject *self, PyObject *obj, PyObject *name)
{
static PyObject *name_str = NULL;
PyObject *global_name = NULL;
PyObject *module_name = NULL;
PyObject *module = NULL;
PyObject *cls;
int status = 0;
const char global_op = GLOBAL;
if (name_str == NULL) {
name_str = PyUnicode_InternFromString("__name__");
if (name_str == NULL)
goto error;
}
if (name) {
global_name = name;
Py_INCREF(global_name);
}
else {
global_name = PyObject_GetAttr(obj, name_str);
if (global_name == NULL)
goto error;
}
module_name = whichmodule(obj, global_name);
if (module_name == NULL)
goto error;
/* XXX: Change to use the import C API directly with level=0 to disallow
relative imports.
XXX: PyImport_ImportModuleLevel could be used. However, this bypasses
builtins.__import__. Therefore, _pickle, unlike pickle.py, will ignore
custom import functions (IMHO, this would be a nice security
feature). The import C API would need to be extended to support the
extra parameters of __import__ to fix that. */
module = PyImport_Import(module_name);
if (module == NULL) {
PyErr_Format(PicklingError,
"Can't pickle %R: import of module %R failed",
obj, module_name);
goto error;
}
cls = PyObject_GetAttr(module, global_name);
if (cls == NULL) {
PyErr_Format(PicklingError,
"Can't pickle %R: attribute lookup %S.%S failed",
obj, module_name, global_name);
goto error;
}
if (cls != obj) {
Py_DECREF(cls);
PyErr_Format(PicklingError,
"Can't pickle %R: it's not the same object as %S.%S",
obj, module_name, global_name);
goto error;
}
Py_DECREF(cls);
if (self->proto >= 2) {
/* See whether this is in the extension registry, and if
* so generate an EXT opcode.
*/
PyObject *code_obj; /* extension code as Python object */
long code; /* extension code as C value */
char pdata[5];
int n;
PyTuple_SET_ITEM(two_tuple, 0, module_name);
PyTuple_SET_ITEM(two_tuple, 1, global_name);
code_obj = PyDict_GetItem(extension_registry, two_tuple);
/* The object is not registered in the extension registry.
This is the most likely code path. */
if (code_obj == NULL)
goto gen_global;
/* XXX: pickle.py doesn't check neither the type, nor the range
of the value returned by the extension_registry. It should for
consistency. */
/* Verify code_obj has the right type and value. */
if (!PyLong_Check(code_obj)) {
PyErr_Format(PicklingError,
"Can't pickle %R: extension code %R isn't an integer",
obj, code_obj);
goto error;
}
code = PyLong_AS_LONG(code_obj);
if (code <= 0 || code > 0x7fffffffL) {
PyErr_Format(PicklingError,
"Can't pickle %R: extension code %ld is out of range",
obj, code);
goto error;
}
/* Generate an EXT opcode. */
if (code <= 0xff) {
pdata[0] = EXT1;
pdata[1] = (unsigned char)code;
n = 2;
}
else if (code <= 0xffff) {
pdata[0] = EXT2;
pdata[1] = (unsigned char)(code & 0xff);
pdata[2] = (unsigned char)((code >> 8) & 0xff);
n = 3;
}
else {
pdata[0] = EXT4;
pdata[1] = (unsigned char)(code & 0xff);
pdata[2] = (unsigned char)((code >> 8) & 0xff);
pdata[3] = (unsigned char)((code >> 16) & 0xff);
pdata[4] = (unsigned char)((code >> 24) & 0xff);
n = 5;
}
if (pickler_write(self, pdata, n) < 0)
goto error;
}
else {
/* Generate a normal global opcode if we are using a pickle
protocol <= 2, or if the object is not registered in the
extension registry. */
PyObject *encoded;
PyObject *(*unicode_encoder)(PyObject *);
gen_global:
if (pickler_write(self, &global_op, 1) < 0)
goto error;
/* Since Python 3.0 now supports non-ASCII identifiers, we encode both
the module name and the global name using UTF-8. We do so only when
we are using the pickle protocol newer than version 3. This is to
ensure compatibility with older Unpickler running on Python 2.x. */
if (self->proto >= 3) {
unicode_encoder = PyUnicode_AsUTF8String;
}
else {
unicode_encoder = PyUnicode_AsASCIIString;
}
/* For protocol < 3 and if the user didn't request against doing so,
we convert module names to the old 2.x module names. */
if (self->fix_imports) {
PyObject *key;
PyObject *item;
key = PyTuple_Pack(2, module_name, global_name);
if (key == NULL)
goto error;
item = PyDict_GetItemWithError(name_mapping_3to2, key);
Py_DECREF(key);
if (item) {
if (!PyTuple_Check(item) || PyTuple_GET_SIZE(item) != 2) {
PyErr_Format(PyExc_RuntimeError,
"_compat_pickle.REVERSE_NAME_MAPPING values "
"should be 2-tuples, not %.200s",
Py_TYPE(item)->tp_name);
goto error;
}
Py_CLEAR(module_name);
Py_CLEAR(global_name);
module_name = PyTuple_GET_ITEM(item, 0);
global_name = PyTuple_GET_ITEM(item, 1);
if (!PyUnicode_Check(module_name) ||
!PyUnicode_Check(global_name)) {
PyErr_Format(PyExc_RuntimeError,
"_compat_pickle.REVERSE_NAME_MAPPING values "
"should be pairs of str, not (%.200s, %.200s)",
Py_TYPE(module_name)->tp_name,
Py_TYPE(global_name)->tp_name);
goto error;
}
Py_INCREF(module_name);
Py_INCREF(global_name);
}
else if (PyErr_Occurred()) {
goto error;
}
item = PyDict_GetItemWithError(import_mapping_3to2, module_name);
if (item) {
if (!PyUnicode_Check(item)) {
PyErr_Format(PyExc_RuntimeError,
"_compat_pickle.REVERSE_IMPORT_MAPPING values "
"should be strings, not %.200s",
Py_TYPE(item)->tp_name);
goto error;
}
Py_CLEAR(module_name);
module_name = item;
Py_INCREF(module_name);
}
else if (PyErr_Occurred()) {
goto error;
}
}
/* Save the name of the module. */
encoded = unicode_encoder(module_name);
if (encoded == NULL) {
if (PyErr_ExceptionMatches(PyExc_UnicodeEncodeError))
PyErr_Format(PicklingError,
"can't pickle module identifier '%S' using "
"pickle protocol %i", module_name, self->proto);
goto error;
}
if (pickler_write(self, PyBytes_AS_STRING(encoded),
PyBytes_GET_SIZE(encoded)) < 0) {
Py_DECREF(encoded);
goto error;
}
Py_DECREF(encoded);
if(pickler_write(self, "\n", 1) < 0)
goto error;
/* Save the name of the module. */
encoded = unicode_encoder(global_name);
if (encoded == NULL) {
if (PyErr_ExceptionMatches(PyExc_UnicodeEncodeError))
PyErr_Format(PicklingError,
"can't pickle global identifier '%S' using "
"pickle protocol %i", global_name, self->proto);
goto error;
}
if (pickler_write(self, PyBytes_AS_STRING(encoded),
PyBytes_GET_SIZE(encoded)) < 0) {
Py_DECREF(encoded);
goto error;
}
Py_DECREF(encoded);
if(pickler_write(self, "\n", 1) < 0)
goto error;
/* Memoize the object. */
if (memo_put(self, obj) < 0)
goto error;
}
if (0) {
error:
status = -1;
}
Py_XDECREF(module_name);
Py_XDECREF(global_name);
Py_XDECREF(module);
return status;
}
static int
save_pers(PicklerObject *self, PyObject *obj, PyObject *func)
{
PyObject *pid = NULL;
int status = 0;
const char persid_op = PERSID;
const char binpersid_op = BINPERSID;
Py_INCREF(obj);
pid = pickler_call(self, func, obj);
if (pid == NULL)
return -1;
if (pid != Py_None) {
if (self->bin) {
if (save(self, pid, 1) < 0 ||
pickler_write(self, &binpersid_op, 1) < 0)
goto error;
}
else {
PyObject *pid_str = NULL;
char *pid_ascii_bytes;
Py_ssize_t size;
pid_str = PyObject_Str(pid);
if (pid_str == NULL)
goto error;
/* XXX: Should it check whether the persistent id only contains
ASCII characters? And what if the pid contains embedded
newlines? */
pid_ascii_bytes = _PyUnicode_AsStringAndSize(pid_str, &size);
Py_DECREF(pid_str);
if (pid_ascii_bytes == NULL)
goto error;
if (pickler_write(self, &persid_op, 1) < 0 ||
pickler_write(self, pid_ascii_bytes, size) < 0 ||
pickler_write(self, "\n", 1) < 0)
goto error;
}
status = 1;
}
if (0) {
error:
status = -1;
}
Py_XDECREF(pid);
return status;
}
/* We're saving obj, and args is the 2-thru-5 tuple returned by the
* appropriate __reduce__ method for obj.
*/
static int
save_reduce(PicklerObject *self, PyObject *args, PyObject *obj)
{
PyObject *callable;
PyObject *argtup;
PyObject *state = NULL;
PyObject *listitems = Py_None;
PyObject *dictitems = Py_None;
Py_ssize_t size;
int use_newobj = self->proto >= 2;
const char reduce_op = REDUCE;
const char build_op = BUILD;
const char newobj_op = NEWOBJ;
size = PyTuple_Size(args);
if (size < 2 || size > 5) {
PyErr_SetString(PicklingError, "tuple returned by "
"__reduce__ must contain 2 through 5 elements");
return -1;
}
if (!PyArg_UnpackTuple(args, "save_reduce", 2, 5,
&callable, &argtup, &state, &listitems, &dictitems))
return -1;
if (!PyCallable_Check(callable)) {
PyErr_SetString(PicklingError, "first item of the tuple "
"returned by __reduce__ must be callable");
return -1;
}
if (!PyTuple_Check(argtup)) {
PyErr_SetString(PicklingError, "second item of the tuple "
"returned by __reduce__ must be a tuple");
return -1;
}
if (state == Py_None)
state = NULL;
if (listitems == Py_None)
listitems = NULL;
else if (!PyIter_Check(listitems)) {
PyErr_Format(PicklingError, "Fourth element of tuple"
"returned by __reduce__ must be an iterator, not %s",
Py_TYPE(listitems)->tp_name);
return -1;
}
if (dictitems == Py_None)
dictitems = NULL;
else if (!PyIter_Check(dictitems)) {
PyErr_Format(PicklingError, "Fifth element of tuple"
"returned by __reduce__ must be an iterator, not %s",
Py_TYPE(dictitems)->tp_name);
return -1;
}
/* Protocol 2 special case: if callable's name is __newobj__, use
NEWOBJ. */
if (use_newobj) {
static PyObject *newobj_str = NULL;
PyObject *name_str;
if (newobj_str == NULL) {
newobj_str = PyUnicode_InternFromString("__newobj__");
}
name_str = PyObject_GetAttrString(callable, "__name__");
if (name_str == NULL) {
if (PyErr_ExceptionMatches(PyExc_AttributeError))
PyErr_Clear();
else
return -1;
use_newobj = 0;
}
else {
use_newobj = PyUnicode_Check(name_str) &&
PyUnicode_Compare(name_str, newobj_str) == 0;
Py_DECREF(name_str);
}
}
if (use_newobj) {
PyObject *cls;
PyObject *newargtup;
PyObject *obj_class;
int p;
/* Sanity checks. */
if (Py_SIZE(argtup) < 1) {
PyErr_SetString(PicklingError, "__newobj__ arglist is empty");
return -1;
}
cls = PyTuple_GET_ITEM(argtup, 0);
if (!PyObject_HasAttrString(cls, "__new__")) {
PyErr_SetString(PicklingError, "args[0] from "
"__newobj__ args has no __new__");
return -1;
}
if (obj != NULL) {
obj_class = PyObject_GetAttrString(obj, "__class__");
if (obj_class == NULL) {
if (PyErr_ExceptionMatches(PyExc_AttributeError))
PyErr_Clear();
else
return -1;
}
p = obj_class != cls; /* true iff a problem */
Py_DECREF(obj_class);
if (p) {
PyErr_SetString(PicklingError, "args[0] from "
"__newobj__ args has the wrong class");
return -1;
}
}
/* XXX: These calls save() are prone to infinite recursion. Imagine
what happen if the value returned by the __reduce__() method of
some extension type contains another object of the same type. Ouch!
Here is a quick example, that I ran into, to illustrate what I
mean:
>>> import pickle, copyreg
>>> copyreg.dispatch_table.pop(complex)
>>> pickle.dumps(1+2j)
Traceback (most recent call last):
...
RuntimeError: maximum recursion depth exceeded
Removing the complex class from copyreg.dispatch_table made the
__reduce_ex__() method emit another complex object:
>>> (1+1j).__reduce_ex__(2)
(<function __newobj__ at 0xb7b71c3c>,
(<class 'complex'>, (1+1j)), None, None, None)
Thus when save() was called on newargstup (the 2nd item) recursion
ensued. Of course, the bug was in the complex class which had a
broken __getnewargs__() that emitted another complex object. But,
the point, here, is it is quite easy to end up with a broken reduce
function. */
/* Save the class and its __new__ arguments. */
if (save(self, cls, 0) < 0)
return -1;
newargtup = PyTuple_GetSlice(argtup, 1, Py_SIZE(argtup));
if (newargtup == NULL)
return -1;
p = save(self, newargtup, 0);
Py_DECREF(newargtup);
if (p < 0)
return -1;
/* Add NEWOBJ opcode. */
if (pickler_write(self, &newobj_op, 1) < 0)
return -1;
}
else { /* Not using NEWOBJ. */
if (save(self, callable, 0) < 0 ||
save(self, argtup, 0) < 0 ||
pickler_write(self, &reduce_op, 1) < 0)
return -1;
}
/* obj can be NULL when save_reduce() is used directly. A NULL obj means
the caller do not want to memoize the object. Not particularly useful,
but that is to mimic the behavior save_reduce() in pickle.py when
obj is None. */
if (obj && memo_put(self, obj) < 0)
return -1;
if (listitems && batch_list(self, listitems) < 0)
return -1;
if (dictitems && batch_dict(self, dictitems) < 0)
return -1;
if (state) {
if (save(self, state, 0) < 0 ||
pickler_write(self, &build_op, 1) < 0)
return -1;
}
return 0;
}
static int
save(PicklerObject *self, PyObject *obj, int pers_save)
{
PyTypeObject *type;
PyObject *reduce_func = NULL;
PyObject *reduce_value = NULL;
PyObject *memo_key = NULL;
int status = 0;
if (Py_EnterRecursiveCall(" while pickling an object"))
return -1;
/* The extra pers_save argument is necessary to avoid calling save_pers()
on its returned object. */
if (!pers_save && self->pers_func) {
/* save_pers() returns:
-1 to signal an error;
0 if it did nothing successfully;
1 if a persistent id was saved.
*/
if ((status = save_pers(self, obj, self->pers_func)) != 0)
goto done;
}
type = Py_TYPE(obj);
/* XXX: The old cPickle had an optimization that used switch-case
statement dispatching on the first letter of the type name. It was
probably not a bad idea after all. If benchmarks shows that particular
optimization had some real benefits, it would be nice to add it
back. */
/* Atom types; these aren't memoized, so don't check the memo. */
if (obj == Py_None) {
status = save_none(self, obj);
goto done;
}
else if (obj == Py_False || obj == Py_True) {
status = save_bool(self, obj);
goto done;
}
else if (type == &PyLong_Type) {
status = save_long(self, obj);
goto done;
}
else if (type == &PyFloat_Type) {
status = save_float(self, obj);
goto done;
}
/* Check the memo to see if it has the object. If so, generate
a GET (or BINGET) opcode, instead of pickling the object
once again. */
memo_key = PyLong_FromVoidPtr(obj);
if (memo_key == NULL)
goto error;
if (PyDict_GetItem(self->memo, memo_key)) {
if (memo_get(self, memo_key) < 0)
goto error;
goto done;
}
if (type == &PyBytes_Type) {
status = save_bytes(self, obj);
goto done;
}
else if (type == &PyUnicode_Type) {
status = save_unicode(self, obj);
goto done;
}
else if (type == &PyDict_Type) {
status = save_dict(self, obj);
goto done;
}
else if (type == &PyList_Type) {
status = save_list(self, obj);
goto done;
}
else if (type == &PyTuple_Type) {
status = save_tuple(self, obj);
goto done;
}
else if (type == &PyType_Type) {
status = save_global(self, obj, NULL);
goto done;
}
else if (type == &PyFunction_Type) {
status = save_global(self, obj, NULL);
if (status < 0 && PyErr_ExceptionMatches(PickleError)) {
/* fall back to reduce */
PyErr_Clear();
}
else {
goto done;
}
}
else if (type == &PyCFunction_Type) {
status = save_global(self, obj, NULL);
goto done;
}
else if (PyType_IsSubtype(type, &PyType_Type)) {
status = save_global(self, obj, NULL);
goto done;
}
/* XXX: This part needs some unit tests. */
/* Get a reduction callable, and call it. This may come from
* copyreg.dispatch_table, the object's __reduce_ex__ method,
* or the object's __reduce__ method.
*/
reduce_func = PyDict_GetItem(dispatch_table, (PyObject *)type);
if (reduce_func != NULL) {
/* Here, the reference count of the reduce_func object returned by
PyDict_GetItem needs to be increased to be consistent with the one
returned by PyObject_GetAttr. This is allow us to blindly DECREF
reduce_func at the end of the save() routine.
*/
Py_INCREF(reduce_func);
Py_INCREF(obj);
reduce_value = pickler_call(self, reduce_func, obj);
}
else {
static PyObject *reduce_str = NULL;
static PyObject *reduce_ex_str = NULL;
/* Cache the name of the reduce methods. */
if (reduce_str == NULL) {
reduce_str = PyUnicode_InternFromString("__reduce__");
if (reduce_str == NULL)
goto error;
reduce_ex_str = PyUnicode_InternFromString("__reduce_ex__");
if (reduce_ex_str == NULL)
goto error;
}
/* XXX: If the __reduce__ method is defined, __reduce_ex__ is
automatically defined as __reduce__. While this is convenient, this
make it impossible to know which method was actually called. Of
course, this is not a big deal. But still, it would be nice to let
the user know which method was called when something go
wrong. Incidentally, this means if __reduce_ex__ is not defined, we
don't actually have to check for a __reduce__ method. */
/* Check for a __reduce_ex__ method. */
reduce_func = PyObject_GetAttr(obj, reduce_ex_str);
if (reduce_func != NULL) {
PyObject *proto;
proto = PyLong_FromLong(self->proto);
if (proto != NULL) {
reduce_value = pickler_call(self, reduce_func, proto);
}
}
else {
if (PyErr_ExceptionMatches(PyExc_AttributeError))
PyErr_Clear();
else
goto error;
/* Check for a __reduce__ method. */
reduce_func = PyObject_GetAttr(obj, reduce_str);
if (reduce_func != NULL) {
reduce_value = PyObject_Call(reduce_func, empty_tuple, NULL);
}
else {
PyErr_Format(PicklingError, "can't pickle '%.200s' object: %R",
type->tp_name, obj);
goto error;
}
}
}
if (reduce_value == NULL)
goto error;
if (PyUnicode_Check(reduce_value)) {
status = save_global(self, obj, reduce_value);
goto done;
}
if (!PyTuple_Check(reduce_value)) {
PyErr_SetString(PicklingError,
"__reduce__ must return a string or tuple");
goto error;
}
status = save_reduce(self, reduce_value, obj);
if (0) {
error:
status = -1;
}
done:
Py_LeaveRecursiveCall();
Py_XDECREF(memo_key);
Py_XDECREF(reduce_func);
Py_XDECREF(reduce_value);
return status;
}
static int
dump(PicklerObject *self, PyObject *obj)
{
const char stop_op = STOP;
if (self->proto >= 2) {
char header[2];
header[0] = PROTO;
assert(self->proto >= 0 && self->proto < 256);
header[1] = (unsigned char)self->proto;
if (pickler_write(self, header, 2) < 0)
return -1;
}
if (save(self, obj, 0) < 0 ||
pickler_write(self, &stop_op, 1) < 0 ||
pickler_write(self, NULL, 0) < 0)
return -1;
return 0;
}
PyDoc_STRVAR(Pickler_clear_memo_doc,
"clear_memo() -> None. Clears the pickler's \"memo\"."
"\n"
"The memo is the data structure that remembers which objects the\n"
"pickler has already seen, so that shared or recursive objects are\n"
"pickled by reference and not by value. This method is useful when\n"
"re-using picklers.");
static PyObject *
Pickler_clear_memo(PicklerObject *self)
{
if (self->memo)
PyDict_Clear(self->memo);
Py_RETURN_NONE;
}
PyDoc_STRVAR(Pickler_dump_doc,
"dump(obj) -> None. Write a pickled representation of obj to the open file.");
static PyObject *
Pickler_dump(PicklerObject *self, PyObject *args)
{
PyObject *obj;
/* Check whether the Pickler was initialized correctly (issue3664).
Developers often forget to call __init__() in their subclasses, which
would trigger a segfault without this check. */
if (self->write == NULL) {
PyErr_Format(PicklingError,
"Pickler.__init__() was not called by %s.__init__()",
Py_TYPE(self)->tp_name);
return NULL;
}
if (!PyArg_ParseTuple(args, "O:dump", &obj))
return NULL;
if (dump(self, obj) < 0)
return NULL;
Py_RETURN_NONE;
}
static struct PyMethodDef Pickler_methods[] = {
{"dump", (PyCFunction)Pickler_dump, METH_VARARGS,
Pickler_dump_doc},
{"clear_memo", (PyCFunction)Pickler_clear_memo, METH_NOARGS,
Pickler_clear_memo_doc},
{NULL, NULL} /* sentinel */
};
static void
Pickler_dealloc(PicklerObject *self)
{
PyObject_GC_UnTrack(self);
Py_XDECREF(self->write);
Py_XDECREF(self->memo);
Py_XDECREF(self->pers_func);
Py_XDECREF(self->arg);
Py_XDECREF(self->fast_memo);
PyMem_Free(self->write_buf);
Py_TYPE(self)->tp_free((PyObject *)self);
}
static int
Pickler_traverse(PicklerObject *self, visitproc visit, void *arg)
{
Py_VISIT(self->write);
Py_VISIT(self->memo);
Py_VISIT(self->pers_func);
Py_VISIT(self->arg);
Py_VISIT(self->fast_memo);
return 0;
}
static int
Pickler_clear(PicklerObject *self)
{
Py_CLEAR(self->write);
Py_CLEAR(self->memo);
Py_CLEAR(self->pers_func);
Py_CLEAR(self->arg);
Py_CLEAR(self->fast_memo);
PyMem_Free(self->write_buf);
self->write_buf = NULL;
return 0;
}
PyDoc_STRVAR(Pickler_doc,
"Pickler(file, protocol=None)"
"\n"
"This takes a binary file for writing a pickle data stream.\n"
"\n"
"The optional protocol argument tells the pickler to use the\n"
"given protocol; supported protocols are 0, 1, 2, 3. The default\n"
"protocol is 3; a backward-incompatible protocol designed for\n"
"Python 3.0.\n"
"\n"
"Specifying a negative protocol version selects the highest\n"
"protocol version supported. The higher the protocol used, the\n"
"more recent the version of Python needed to read the pickle\n"
"produced.\n"
"\n"
"The file argument must have a write() method that accepts a single\n"
"bytes argument. It can thus be a file object opened for binary\n"
"writing, a io.BytesIO instance, or any other custom object that\n"
"meets this interface.\n"
"\n"
"If fix_imports is True and protocol is less than 3, pickle will try to\n"
"map the new Python 3.x names to the old module names used in Python\n"
"2.x, so that the pickle data stream is readable with Python 2.x.\n");
static int
Pickler_init(PicklerObject *self, PyObject *args, PyObject *kwds)
{
static char *kwlist[] = {"file", "protocol", "fix_imports", 0};
PyObject *file;
PyObject *proto_obj = NULL;
long proto = 0;
int fix_imports = 1;
if (!PyArg_ParseTupleAndKeywords(args, kwds, "O|Oi:Pickler",
kwlist, &file, &proto_obj, &fix_imports))
return -1;
/* In case of multiple __init__() calls, clear previous content. */
if (self->write != NULL)
(void)Pickler_clear(self);
if (proto_obj == NULL || proto_obj == Py_None)
proto = DEFAULT_PROTOCOL;
else {
proto = PyLong_AsLong(proto_obj);
if (proto == -1 && PyErr_Occurred())
return -1;
}
if (proto < 0)
proto = HIGHEST_PROTOCOL;
if (proto > HIGHEST_PROTOCOL) {
PyErr_Format(PyExc_ValueError, "pickle protocol must be <= %d",
HIGHEST_PROTOCOL);
return -1;
}
self->proto = proto;
self->bin = proto > 0;
self->arg = NULL;
self->fast = 0;
self->fast_nesting = 0;
self->fast_memo = NULL;
self->fix_imports = fix_imports && proto < 3;
if (!PyObject_HasAttrString(file, "write")) {
PyErr_SetString(PyExc_TypeError,
"file must have a 'write' attribute");
return -1;
}
self->write = PyObject_GetAttrString(file, "write");
if (self->write == NULL)
return -1;
self->buf_size = 0;
self->write_buf = (char *)PyMem_Malloc(WRITE_BUF_SIZE);
if (self->write_buf == NULL) {
PyErr_NoMemory();
return -1;
}
self->pers_func = NULL;
if (PyObject_HasAttrString((PyObject *)self, "persistent_id")) {
self->pers_func = PyObject_GetAttrString((PyObject *)self,
"persistent_id");
if (self->pers_func == NULL)
return -1;
}
self->memo = PyDict_New();
if (self->memo == NULL)
return -1;
return 0;
}
static PyObject *
Pickler_get_memo(PicklerObject *self)
{
if (self->memo == NULL)
PyErr_SetString(PyExc_AttributeError, "memo");
else
Py_INCREF(self->memo);
return self->memo;
}
static int
Pickler_set_memo(PicklerObject *self, PyObject *value)
{
PyObject *tmp;
if (value == NULL) {
PyErr_SetString(PyExc_TypeError,
"attribute deletion is not supported");
return -1;
}
if (!PyDict_Check(value)) {
PyErr_SetString(PyExc_TypeError, "memo must be a dictionary");
return -1;
}
tmp = self->memo;
Py_INCREF(value);
self->memo = value;
Py_XDECREF(tmp);
return 0;
}
static PyObject *
Pickler_get_persid(PicklerObject *self)
{
if (self->pers_func == NULL)
PyErr_SetString(PyExc_AttributeError, "persistent_id");
else
Py_INCREF(self->pers_func);
return self->pers_func;
}
static int
Pickler_set_persid(PicklerObject *self, PyObject *value)
{
PyObject *tmp;
if (value == NULL) {
PyErr_SetString(PyExc_TypeError,
"attribute deletion is not supported");
return -1;
}
if (!PyCallable_Check(value)) {
PyErr_SetString(PyExc_TypeError,
"persistent_id must be a callable taking one argument");
return -1;
}
tmp = self->pers_func;
Py_INCREF(value);
self->pers_func = value;
Py_XDECREF(tmp); /* self->pers_func can be NULL, so be careful. */
return 0;
}
static PyMemberDef Pickler_members[] = {
{"bin", T_INT, offsetof(PicklerObject, bin)},
{"fast", T_INT, offsetof(PicklerObject, fast)},
{NULL}
};
static PyGetSetDef Pickler_getsets[] = {
{"memo", (getter)Pickler_get_memo,
(setter)Pickler_set_memo},
{"persistent_id", (getter)Pickler_get_persid,
(setter)Pickler_set_persid},
{NULL}
};
static PyTypeObject Pickler_Type = {
PyVarObject_HEAD_INIT(NULL, 0)
"_pickle.Pickler" , /*tp_name*/
sizeof(PicklerObject), /*tp_basicsize*/
0, /*tp_itemsize*/
(destructor)Pickler_dealloc, /*tp_dealloc*/
0, /*tp_print*/
0, /*tp_getattr*/
0, /*tp_setattr*/
0, /*tp_reserved*/
0, /*tp_repr*/
0, /*tp_as_number*/
0, /*tp_as_sequence*/
0, /*tp_as_mapping*/
0, /*tp_hash*/
0, /*tp_call*/
0, /*tp_str*/
0, /*tp_getattro*/
0, /*tp_setattro*/
0, /*tp_as_buffer*/
Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE | Py_TPFLAGS_HAVE_GC,
Pickler_doc, /*tp_doc*/
(traverseproc)Pickler_traverse, /*tp_traverse*/
(inquiry)Pickler_clear, /*tp_clear*/
0, /*tp_richcompare*/
0, /*tp_weaklistoffset*/
0, /*tp_iter*/
0, /*tp_iternext*/
Pickler_methods, /*tp_methods*/
Pickler_members, /*tp_members*/
Pickler_getsets, /*tp_getset*/
0, /*tp_base*/
0, /*tp_dict*/
0, /*tp_descr_get*/
0, /*tp_descr_set*/
0, /*tp_dictoffset*/
(initproc)Pickler_init, /*tp_init*/
PyType_GenericAlloc, /*tp_alloc*/
PyType_GenericNew, /*tp_new*/
PyObject_GC_Del, /*tp_free*/
0, /*tp_is_gc*/
};
/* Temporary helper for calling self.find_class().
XXX: It would be nice to able to avoid Python function call overhead, by
using directly the C version of find_class(), when find_class() is not
overridden by a subclass. Although, this could become rather hackish. A
simpler optimization would be to call the C function when self is not a
subclass instance. */
static PyObject *
find_class(UnpicklerObject *self, PyObject *module_name, PyObject *global_name)
{
return PyObject_CallMethod((PyObject *)self, "find_class", "OO",
module_name, global_name);
}
static int
marker(UnpicklerObject *self)
{
if (self->num_marks < 1) {
PyErr_SetString(UnpicklingError, "could not find MARK");
return -1;
}
return self->marks[--self->num_marks];
}
static int
load_none(UnpicklerObject *self)
{
PDATA_APPEND(self->stack, Py_None, -1);
return 0;
}
static int
bad_readline(void)
{
PyErr_SetString(UnpicklingError, "pickle data was truncated");
return -1;
}
static int
load_int(UnpicklerObject *self)
{
PyObject *value;
char *endptr, *s;
Py_ssize_t len;
long x;
if ((len = unpickler_readline(self, &s)) < 0)
return -1;
if (len < 2)
return bad_readline();
errno = 0;
/* XXX: Should the base argument of strtol() be explicitly set to 10? */
x = strtol(s, &endptr, 0);
if (errno || (*endptr != '\n') || (endptr[1] != '\0')) {
/* Hm, maybe we've got something long. Let's try reading
* it as a Python long object. */
errno = 0;
/* XXX: Same thing about the base here. */
value = PyLong_FromString(s, NULL, 0);
if (value == NULL) {
PyErr_SetString(PyExc_ValueError,
"could not convert string to int");
return -1;
}
}
else {
if (len == 3 && (x == 0 || x == 1)) {
if ((value = PyBool_FromLong(x)) == NULL)
return -1;
}
else {
if ((value = PyLong_FromLong(x)) == NULL)
return -1;
}
}
PDATA_PUSH(self->stack, value, -1);
return 0;
}
static int
load_bool(UnpicklerObject *self, PyObject *boolean)
{
assert(boolean == Py_True || boolean == Py_False);
PDATA_APPEND(self->stack, boolean, -1);
return 0;
}
/* s contains x bytes of a little-endian integer. Return its value as a
* C int. Obscure: when x is 1 or 2, this is an unsigned little-endian
* int, but when x is 4 it's a signed one. This is an historical source
* of x-platform bugs.
*/
static long
calc_binint(char *bytes, int size)
{
unsigned char *s = (unsigned char *)bytes;
int i = size;
long x = 0;
for (i = 0; i < size; i++) {
x |= (long)s[i] << (i * 8);
}
/* Unlike BININT1 and BININT2, BININT (more accurately BININT4)
* is signed, so on a box with longs bigger than 4 bytes we need
* to extend a BININT's sign bit to the full width.
*/
if (SIZEOF_LONG > 4 && size == 4) {
x |= -(x & (1L << 31));
}
return x;
}
static int
load_binintx(UnpicklerObject *self, char *s, int size)
{
PyObject *value;
long x;
x = calc_binint(s, size);
if ((value = PyLong_FromLong(x)) == NULL)
return -1;
PDATA_PUSH(self->stack, value, -1);
return 0;
}
static int
load_binint(UnpicklerObject *self)
{
char *s;
if (unpickler_read(self, &s, 4) < 0)
return -1;
return load_binintx(self, s, 4);
}
static int
load_binint1(UnpicklerObject *self)
{
char *s;
if (unpickler_read(self, &s, 1) < 0)
return -1;
return load_binintx(self, s, 1);
}
static int
load_binint2(UnpicklerObject *self)
{
char *s;
if (unpickler_read(self, &s, 2) < 0)
return -1;
return load_binintx(self, s, 2);
}
static int
load_long(UnpicklerObject *self)
{
PyObject *value;
char *s;
Py_ssize_t len;
if ((len = unpickler_readline(self, &s)) < 0)
return -1;
if (len < 2)
return bad_readline();
/* s[len-2] will usually be 'L' (and s[len-1] is '\n'); we need to remove
the 'L' before calling PyLong_FromString. In order to maintain
compatibility with Python 3.0.0, we don't actually *require*
the 'L' to be present. */
if (s[len-2] == 'L') {
s[len-2] = '\0';
}
/* XXX: Should the base argument explicitly set to 10? */
value = PyLong_FromString(s, NULL, 0);
if (value == NULL)
return -1;
PDATA_PUSH(self->stack, value, -1);
return 0;
}
/* 'size' bytes contain the # of bytes of little-endian 256's-complement
* data following.
*/
static int
load_counted_long(UnpicklerObject *self, int size)
{
PyObject *value;
char *nbytes;
char *pdata;
assert(size == 1 || size == 4);
if (unpickler_read(self, &nbytes, size) < 0)
return -1;
size = calc_binint(nbytes, size);
if (size < 0) {
/* Corrupt or hostile pickle -- we never write one like this */
PyErr_SetString(UnpicklingError,
"LONG pickle has negative byte count");
return -1;
}
if (size == 0)
value = PyLong_FromLong(0L);
else {
/* Read the raw little-endian bytes and convert. */
if (unpickler_read(self, &pdata, size) < 0)
return -1;
value = _PyLong_FromByteArray((unsigned char *)pdata, (size_t)size,
1 /* little endian */ , 1 /* signed */ );
}
if (value == NULL)
return -1;
PDATA_PUSH(self->stack, value, -1);
return 0;
}
static int
load_float(UnpicklerObject *self)
{
PyObject *value;
char *endptr, *s;
Py_ssize_t len;
double d;
if ((len = unpickler_readline(self, &s)) < 0)
return -1;
if (len < 2)
return bad_readline();
errno = 0;
d = PyOS_string_to_double(s, &endptr, PyExc_OverflowError);
if (d == -1.0 && PyErr_Occurred())
return -1;
if ((endptr[0] != '\n') || (endptr[1] != '\0')) {
PyErr_SetString(PyExc_ValueError, "could not convert string to float");
return -1;
}
value = PyFloat_FromDouble(d);
if (value == NULL)
return -1;
PDATA_PUSH(self->stack, value, -1);
return 0;
}
static int
load_binfloat(UnpicklerObject *self)
{
PyObject *value;
double x;
char *s;
if (unpickler_read(self, &s, 8) < 0)
return -1;
x = _PyFloat_Unpack8((unsigned char *)s, 0);
if (x == -1.0 && PyErr_Occurred())
return -1;
if ((value = PyFloat_FromDouble(x)) == NULL)
return -1;
PDATA_PUSH(self->stack, value, -1);
return 0;
}
static int
load_string(UnpicklerObject *self)
{
PyObject *bytes;
PyObject *str = NULL;
Py_ssize_t len;
char *s, *p;
if ((len = unpickler_readline(self, &s)) < 0)
return -1;
if (len < 3)
return bad_readline();
if ((s = strdup(s)) == NULL) {
PyErr_NoMemory();
return -1;
}
/* Strip outermost quotes */
while (s[len - 1] <= ' ')
len--;
if (s[0] == '"' && s[len - 1] == '"') {
s[len - 1] = '\0';
p = s + 1;
len -= 2;
}
else if (s[0] == '\'' && s[len - 1] == '\'') {
s[len - 1] = '\0';
p = s + 1;
len -= 2;
}
else {
free(s);
PyErr_SetString(PyExc_ValueError, "insecure string pickle");
return -1;
}
/* Use the PyBytes API to decode the string, since that is what is used
to encode, and then coerce the result to Unicode. */
bytes = PyBytes_DecodeEscape(p, len, NULL, 0, NULL);
free(s);
if (bytes == NULL)
return -1;
str = PyUnicode_FromEncodedObject(bytes, self->encoding, self->errors);
Py_DECREF(bytes);
if (str == NULL)
return -1;
PDATA_PUSH(self->stack, str, -1);
return 0;
}
static int
load_binbytes(UnpicklerObject *self)
{
PyObject *bytes;
long x;
char *s;
if (unpickler_read(self, &s, 4) < 0)
return -1;
x = calc_binint(s, 4);
if (x < 0) {
PyErr_SetString(UnpicklingError,
"BINBYTES pickle has negative byte count");
return -1;
}
if (unpickler_read(self, &s, x) < 0)
return -1;
bytes = PyBytes_FromStringAndSize(s, x);
if (bytes == NULL)
return -1;
PDATA_PUSH(self->stack, bytes, -1);
return 0;
}
static int
load_short_binbytes(UnpicklerObject *self)
{
PyObject *bytes;
unsigned char x;
char *s;
if (unpickler_read(self, &s, 1) < 0)
return -1;
x = (unsigned char)s[0];
if (unpickler_read(self, &s, x) < 0)
return -1;
bytes = PyBytes_FromStringAndSize(s, x);
if (bytes == NULL)
return -1;
PDATA_PUSH(self->stack, bytes, -1);
return 0;
}
static int
load_binstring(UnpicklerObject *self)
{
PyObject *str;
long x;
char *s;
if (unpickler_read(self, &s, 4) < 0)
return -1;
x = calc_binint(s, 4);
if (x < 0) {
PyErr_SetString(UnpicklingError,
"BINSTRING pickle has negative byte count");
return -1;
}
if (unpickler_read(self, &s, x) < 0)
return -1;
/* Convert Python 2.x strings to unicode. */
str = PyUnicode_Decode(s, x, self->encoding, self->errors);
if (str == NULL)
return -1;
PDATA_PUSH(self->stack, str, -1);
return 0;
}
static int
load_short_binstring(UnpicklerObject *self)
{
PyObject *str;
unsigned char x;
char *s;
if (unpickler_read(self, &s, 1) < 0)
return -1;
x = (unsigned char)s[0];
if (unpickler_read(self, &s, x) < 0)
return -1;
/* Convert Python 2.x strings to unicode. */
str = PyUnicode_Decode(s, x, self->encoding, self->errors);
if (str == NULL)
return -1;
PDATA_PUSH(self->stack, str, -1);
return 0;
}
static int
load_unicode(UnpicklerObject *self)
{
PyObject *str;
Py_ssize_t len;
char *s;
if ((len = unpickler_readline(self, &s)) < 0)
return -1;
if (len < 1)
return bad_readline();
str = PyUnicode_DecodeRawUnicodeEscape(s, len - 1, NULL);
if (str == NULL)
return -1;
PDATA_PUSH(self->stack, str, -1);
return 0;
}
static int
load_binunicode(UnpicklerObject *self)
{
PyObject *str;
long size;
char *s;
if (unpickler_read(self, &s, 4) < 0)
return -1;
size = calc_binint(s, 4);
if (size < 0) {
PyErr_SetString(UnpicklingError,
"BINUNICODE pickle has negative byte count");
return -1;
}
if (unpickler_read(self, &s, size) < 0)
return -1;
str = PyUnicode_DecodeUTF8(s, size, "surrogatepass");
if (str == NULL)
return -1;
PDATA_PUSH(self->stack, str, -1);
return 0;
}
static int
load_tuple(UnpicklerObject *self)
{
PyObject *tuple;
int i;
if ((i = marker(self)) < 0)
return -1;
tuple = Pdata_poptuple(self->stack, i);
if (tuple == NULL)
return -1;
PDATA_PUSH(self->stack, tuple, -1);
return 0;
}
static int
load_counted_tuple(UnpicklerObject *self, int len)
{
PyObject *tuple;
tuple = PyTuple_New(len);
if (tuple == NULL)
return -1;
while (--len >= 0) {
PyObject *item;
PDATA_POP(self->stack, item);
if (item == NULL)
return -1;
PyTuple_SET_ITEM(tuple, len, item);
}
PDATA_PUSH(self->stack, tuple, -1);
return 0;
}
static int
load_empty_list(UnpicklerObject *self)
{
PyObject *list;
if ((list = PyList_New(0)) == NULL)
return -1;
PDATA_PUSH(self->stack, list, -1);
return 0;
}
static int
load_empty_dict(UnpicklerObject *self)
{
PyObject *dict;
if ((dict = PyDict_New()) == NULL)
return -1;
PDATA_PUSH(self->stack, dict, -1);
return 0;
}
static int
load_list(UnpicklerObject *self)
{
PyObject *list;
int i;
if ((i = marker(self)) < 0)
return -1;
list = Pdata_poplist(self->stack, i);
if (list == NULL)
return -1;
PDATA_PUSH(self->stack, list, -1);
return 0;
}
static int
load_dict(UnpicklerObject *self)
{
PyObject *dict, *key, *value;
int i, j, k;
if ((i = marker(self)) < 0)
return -1;
j = self->stack->length;
if ((dict = PyDict_New()) == NULL)
return -1;
for (k = i + 1; k < j; k += 2) {
key = self->stack->data[k - 1];
value = self->stack->data[k];
if (PyDict_SetItem(dict, key, value) < 0) {
Py_DECREF(dict);
return -1;
}
}
Pdata_clear(self->stack, i);
PDATA_PUSH(self->stack, dict, -1);
return 0;
}
static PyObject *
instantiate(PyObject *cls, PyObject *args)
{
PyObject *result = NULL;
/* Caller must assure args are a tuple. Normally, args come from
Pdata_poptuple which packs objects from the top of the stack
into a newly created tuple. */
assert(PyTuple_Check(args));
if (Py_SIZE(args) > 0 || !PyType_Check(cls) ||
PyObject_HasAttrString(cls, "__getinitargs__")) {
result = PyObject_CallObject(cls, args);
}
else {
result = PyObject_CallMethod(cls, "__new__", "O", cls);
}
return result;
}
static int
load_obj(UnpicklerObject *self)
{
PyObject *cls, *args, *obj = NULL;
int i;
if ((i = marker(self)) < 0)
return -1;
args = Pdata_poptuple(self->stack, i + 1);
if (args == NULL)
return -1;
PDATA_POP(self->stack, cls);
if (cls) {
obj = instantiate(cls, args);
Py_DECREF(cls);
}
Py_DECREF(args);
if (obj == NULL)
return -1;
PDATA_PUSH(self->stack, obj, -1);
return 0;
}
static int
load_inst(UnpicklerObject *self)
{
PyObject *cls = NULL;
PyObject *args = NULL;
PyObject *obj = NULL;
PyObject *module_name;
PyObject *class_name;
Py_ssize_t len;
int i;
char *s;
if ((i = marker(self)) < 0)
return -1;
if ((len = unpickler_readline(self, &s)) < 0)
return -1;
if (len < 2)
return bad_readline();
/* Here it is safe to use PyUnicode_DecodeASCII(), even though non-ASCII
identifiers are permitted in Python 3.0, since the INST opcode is only
supported by older protocols on Python 2.x. */
module_name = PyUnicode_DecodeASCII(s, len - 1, "strict");
if (module_name == NULL)
return -1;
if ((len = unpickler_readline(self, &s)) >= 0) {
if (len < 2)
return bad_readline();
class_name = PyUnicode_DecodeASCII(s, len - 1, "strict");
if (class_name != NULL) {
cls = find_class(self, module_name, class_name);
Py_DECREF(class_name);
}
}
Py_DECREF(module_name);
if (cls == NULL)
return -1;
if ((args = Pdata_poptuple(self->stack, i)) != NULL) {
obj = instantiate(cls, args);
Py_DECREF(args);
}
Py_DECREF(cls);
if (obj == NULL)
return -1;
PDATA_PUSH(self->stack, obj, -1);
return 0;
}
static int
load_newobj(UnpicklerObject *self)
{
PyObject *args = NULL;
PyObject *clsraw = NULL;
PyTypeObject *cls; /* clsraw cast to its true type */
PyObject *obj;
/* Stack is ... cls argtuple, and we want to call
* cls.__new__(cls, *argtuple).
*/
PDATA_POP(self->stack, args);
if (args == NULL)
goto error;
if (!PyTuple_Check(args)) {
PyErr_SetString(UnpicklingError, "NEWOBJ expected an arg " "tuple.");
goto error;
}
PDATA_POP(self->stack, clsraw);
cls = (PyTypeObject *)clsraw;
if (cls == NULL)
goto error;
if (!PyType_Check(cls)) {
PyErr_SetString(UnpicklingError, "NEWOBJ class argument "
"isn't a type object");
goto error;
}
if (cls->tp_new == NULL) {
PyErr_SetString(UnpicklingError, "NEWOBJ class argument "
"has NULL tp_new");
goto error;
}
/* Call __new__. */
obj = cls->tp_new(cls, args, NULL);
if (obj == NULL)
goto error;
Py_DECREF(args);
Py_DECREF(clsraw);
PDATA_PUSH(self->stack, obj, -1);
return 0;
error:
Py_XDECREF(args);
Py_XDECREF(clsraw);
return -1;
}
static int
load_global(UnpicklerObject *self)
{
PyObject *global = NULL;
PyObject *module_name;
PyObject *global_name;
Py_ssize_t len;
char *s;
if ((len = unpickler_readline(self, &s)) < 0)
return -1;
if (len < 2)
return bad_readline();
module_name = PyUnicode_DecodeUTF8(s, len - 1, "strict");
if (!module_name)
return -1;
if ((len = unpickler_readline(self, &s)) >= 0) {
if (len < 2) {
Py_DECREF(module_name);
return bad_readline();
}
global_name = PyUnicode_DecodeUTF8(s, len - 1, "strict");
if (global_name) {
global = find_class(self, module_name, global_name);
Py_DECREF(global_name);
}
}
Py_DECREF(module_name);
if (global == NULL)
return -1;
PDATA_PUSH(self->stack, global, -1);
return 0;
}
static int
load_persid(UnpicklerObject *self)
{
PyObject *pid;
Py_ssize_t len;
char *s;
if (self->pers_func) {
if ((len = unpickler_readline(self, &s)) < 0)
return -1;
if (len < 2)
return bad_readline();
pid = PyBytes_FromStringAndSize(s, len - 1);
if (pid == NULL)
return -1;
/* Ugh... this does not leak since unpickler_call() steals the
reference to pid first. */
pid = unpickler_call(self, self->pers_func, pid);
if (pid == NULL)
return -1;
PDATA_PUSH(self->stack, pid, -1);
return 0;
}
else {
PyErr_SetString(UnpicklingError,
"A load persistent id instruction was encountered,\n"
"but no persistent_load function was specified.");
return -1;
}
}
static int
load_binpersid(UnpicklerObject *self)
{
PyObject *pid;
if (self->pers_func) {
PDATA_POP(self->stack, pid);
if (pid == NULL)
return -1;
/* Ugh... this does not leak since unpickler_call() steals the
reference to pid first. */
pid = unpickler_call(self, self->pers_func, pid);
if (pid == NULL)
return -1;
PDATA_PUSH(self->stack, pid, -1);
return 0;
}
else {
PyErr_SetString(UnpicklingError,
"A load persistent id instruction was encountered,\n"
"but no persistent_load function was specified.");
return -1;
}
}
static int
load_pop(UnpicklerObject *self)
{
int len = self->stack->length;
/* Note that we split the (pickle.py) stack into two stacks,
* an object stack and a mark stack. We have to be clever and
* pop the right one. We do this by looking at the top of the
* mark stack first, and only signalling a stack underflow if
* the object stack is empty and the mark stack doesn't match
* our expectations.
*/
if (self->num_marks > 0 && self->marks[self->num_marks - 1] == len) {
self->num_marks--;
} else if (len > 0) {
len--;
Py_DECREF(self->stack->data[len]);
self->stack->length = len;
} else {
return stack_underflow();
}
return 0;
}
static int
load_pop_mark(UnpicklerObject *self)
{
int i;
if ((i = marker(self)) < 0)
return -1;
Pdata_clear(self->stack, i);
return 0;
}
static int
load_dup(UnpicklerObject *self)
{
PyObject *last;
int len;
if ((len = self->stack->length) <= 0)
return stack_underflow();
last = self->stack->data[len - 1];
PDATA_APPEND(self->stack, last, -1);
return 0;
}
static int
load_get(UnpicklerObject *self)
{
PyObject *key, *value;
Py_ssize_t len;
char *s;
if ((len = unpickler_readline(self, &s)) < 0)
return -1;
if (len < 2)
return bad_readline();
key = PyLong_FromString(s, NULL, 10);
if (key == NULL)
return -1;
value = PyDict_GetItemWithError(self->memo, key);
if (value == NULL) {
if (!PyErr_Occurred())
PyErr_SetObject(PyExc_KeyError, key);
Py_DECREF(key);
return -1;
}
Py_DECREF(key);
PDATA_APPEND(self->stack, value, -1);
return 0;
}
static int
load_binget(UnpicklerObject *self)
{
PyObject *key, *value;
char *s;
if (unpickler_read(self, &s, 1) < 0)
return -1;
/* Here, the unsigned cast is necessary to avoid negative values. */
key = PyLong_FromLong((long)(unsigned char)s[0]);
if (key == NULL)
return -1;
value = PyDict_GetItemWithError(self->memo, key);
if (value == NULL) {
if (!PyErr_Occurred())
PyErr_SetObject(PyExc_KeyError, key);
Py_DECREF(key);
return -1;
}
Py_DECREF(key);
PDATA_APPEND(self->stack, value, -1);
return 0;
}
static int
load_long_binget(UnpicklerObject *self)
{
PyObject *key, *value;
char *s;
long k;
if (unpickler_read(self, &s, 4) < 0)
return -1;
k = (long)(unsigned char)s[0];
k |= (long)(unsigned char)s[1] << 8;
k |= (long)(unsigned char)s[2] << 16;
k |= (long)(unsigned char)s[3] << 24;
key = PyLong_FromLong(k);
if (key == NULL)
return -1;
value = PyDict_GetItemWithError(self->memo, key);
if (value == NULL) {
if (!PyErr_Occurred())
PyErr_SetObject(PyExc_KeyError, key);
Py_DECREF(key);
return -1;
}
Py_DECREF(key);
PDATA_APPEND(self->stack, value, -1);
return 0;
}
/* Push an object from the extension registry (EXT[124]). nbytes is
* the number of bytes following the opcode, holding the index (code) value.
*/
static int
load_extension(UnpicklerObject *self, int nbytes)
{
char *codebytes; /* the nbytes bytes after the opcode */
long code; /* calc_binint returns long */
PyObject *py_code; /* code as a Python int */
PyObject *obj; /* the object to push */
PyObject *pair; /* (module_name, class_name) */
PyObject *module_name, *class_name;
assert(nbytes == 1 || nbytes == 2 || nbytes == 4);
if (unpickler_read(self, &codebytes, nbytes) < 0)
return -1;
code = calc_binint(codebytes, nbytes);
if (code <= 0) { /* note that 0 is forbidden */
/* Corrupt or hostile pickle. */
PyErr_SetString(UnpicklingError, "EXT specifies code <= 0");
return -1;
}
/* Look for the code in the cache. */
py_code = PyLong_FromLong(code);
if (py_code == NULL)
return -1;
obj = PyDict_GetItem(extension_cache, py_code);
if (obj != NULL) {
/* Bingo. */
Py_DECREF(py_code);
PDATA_APPEND(self->stack, obj, -1);
return 0;
}
/* Look up the (module_name, class_name) pair. */
pair = PyDict_GetItem(inverted_registry, py_code);
if (pair == NULL) {
Py_DECREF(py_code);
PyErr_Format(PyExc_ValueError, "unregistered extension "
"code %ld", code);
return -1;
}
/* Since the extension registry is manipulable via Python code,
* confirm that pair is really a 2-tuple of strings.
*/
if (!PyTuple_Check(pair) || PyTuple_Size(pair) != 2 ||
!PyUnicode_Check(module_name = PyTuple_GET_ITEM(pair, 0)) ||
!PyUnicode_Check(class_name = PyTuple_GET_ITEM(pair, 1))) {
Py_DECREF(py_code);
PyErr_Format(PyExc_ValueError, "_inverted_registry[%ld] "
"isn't a 2-tuple of strings", code);
return -1;
}
/* Load the object. */
obj = find_class(self, module_name, class_name);
if (obj == NULL) {
Py_DECREF(py_code);
return -1;
}
/* Cache code -> obj. */
code = PyDict_SetItem(extension_cache, py_code, obj);
Py_DECREF(py_code);
if (code < 0) {
Py_DECREF(obj);
return -1;
}
PDATA_PUSH(self->stack, obj, -1);
return 0;
}
static int
load_put(UnpicklerObject *self)
{
PyObject *key, *value;
Py_ssize_t len;
char *s;
int x;
if ((len = unpickler_readline(self, &s)) < 0)
return -1;
if (len < 2)
return bad_readline();
if ((x = self->stack->length) <= 0)
return stack_underflow();
key = PyLong_FromString(s, NULL, 10);
if (key == NULL)
return -1;
value = self->stack->data[x - 1];
x = PyDict_SetItem(self->memo, key, value);
Py_DECREF(key);
return x;
}
static int
load_binput(UnpicklerObject *self)
{
PyObject *key, *value;
char *s;
int x;
if (unpickler_read(self, &s, 1) < 0)
return -1;
if ((x = self->stack->length) <= 0)
return stack_underflow();
key = PyLong_FromLong((long)(unsigned char)s[0]);
if (key == NULL)
return -1;
value = self->stack->data[x - 1];
x = PyDict_SetItem(self->memo, key, value);
Py_DECREF(key);
return x;
}
static int
load_long_binput(UnpicklerObject *self)
{
PyObject *key, *value;
long k;
char *s;
int x;
if (unpickler_read(self, &s, 4) < 0)
return -1;
if ((x = self->stack->length) <= 0)
return stack_underflow();
k = (long)(unsigned char)s[0];
k |= (long)(unsigned char)s[1] << 8;
k |= (long)(unsigned char)s[2] << 16;
k |= (long)(unsigned char)s[3] << 24;
key = PyLong_FromLong(k);
if (key == NULL)
return -1;
value = self->stack->data[x - 1];
x = PyDict_SetItem(self->memo, key, value);
Py_DECREF(key);
return x;
}
static int
do_append(UnpicklerObject *self, int x)
{
PyObject *value;
PyObject *list;
int len, i;
len = self->stack->length;
if (x > len || x <= 0)
return stack_underflow();
if (len == x) /* nothing to do */
return 0;
list = self->stack->data[x - 1];
if (PyList_Check(list)) {
PyObject *slice;
Py_ssize_t list_len;
slice = Pdata_poplist(self->stack, x);
if (!slice)
return -1;
list_len = PyList_GET_SIZE(list);
i = PyList_SetSlice(list, list_len, list_len, slice);
Py_DECREF(slice);
return i;
}
else {
PyObject *append_func;
append_func = PyObject_GetAttrString(list, "append");
if (append_func == NULL)
return -1;
for (i = x; i < len; i++) {
PyObject *result;
value = self->stack->data[i];
result = unpickler_call(self, append_func, value);
if (result == NULL) {
Pdata_clear(self->stack, i + 1);
self->stack->length = x;
return -1;
}
Py_DECREF(result);
}
self->stack->length = x;
}
return 0;
}
static int
load_append(UnpicklerObject *self)
{
return do_append(self, self->stack->length - 1);
}
static int
load_appends(UnpicklerObject *self)
{
return do_append(self, marker(self));
}
static int
do_setitems(UnpicklerObject *self, int x)
{
PyObject *value, *key;
PyObject *dict;
int len, i;
int status = 0;
len = self->stack->length;
if (x > len || x <= 0)
return stack_underflow();
if (len == x) /* nothing to do */
return 0;
if ((len - x) % 2 != 0) {
/* Currupt or hostile pickle -- we never write one like this. */
PyErr_SetString(UnpicklingError, "odd number of items for SETITEMS");
return -1;
}
/* Here, dict does not actually need to be a PyDict; it could be anything
that supports the __setitem__ attribute. */
dict = self->stack->data[x - 1];
for (i = x + 1; i < len; i += 2) {
key = self->stack->data[i - 1];
value = self->stack->data[i];
if (PyObject_SetItem(dict, key, value) < 0) {
status = -1;
break;
}
}
Pdata_clear(self->stack, x);
return status;
}
static int
load_setitem(UnpicklerObject *self)
{
return do_setitems(self, self->stack->length - 2);
}
static int
load_setitems(UnpicklerObject *self)
{
return do_setitems(self, marker(self));
}
static int
load_build(UnpicklerObject *self)
{
PyObject *state, *inst, *slotstate;
PyObject *setstate;
int status = 0;
/* Stack is ... instance, state. We want to leave instance at
* the stack top, possibly mutated via instance.__setstate__(state).
*/
if (self->stack->length < 2)
return stack_underflow();
PDATA_POP(self->stack, state);
if (state == NULL)
return -1;
inst = self->stack->data[self->stack->length - 1];
setstate = PyObject_GetAttrString(inst, "__setstate__");
if (setstate == NULL) {
if (PyErr_ExceptionMatches(PyExc_AttributeError))
PyErr_Clear();
else {
Py_DECREF(state);
return -1;
}
}
else {
PyObject *result;
/* The explicit __setstate__ is responsible for everything. */
/* Ugh... this does not leak since unpickler_call() steals the
reference to state first. */
result = unpickler_call(self, setstate, state);
Py_DECREF(setstate);
if (result == NULL)
return -1;
Py_DECREF(result);
return 0;
}
/* A default __setstate__. First see whether state embeds a
* slot state dict too (a proto 2 addition).
*/
if (PyTuple_Check(state) && Py_SIZE(state) == 2) {
PyObject *tmp = state;
state = PyTuple_GET_ITEM(tmp, 0);
slotstate = PyTuple_GET_ITEM(tmp, 1);
Py_INCREF(state);
Py_INCREF(slotstate);
Py_DECREF(tmp);
}
else
slotstate = NULL;
/* Set inst.__dict__ from the state dict (if any). */
if (state != Py_None) {
PyObject *dict;
PyObject *d_key, *d_value;
Py_ssize_t i;
if (!PyDict_Check(state)) {
PyErr_SetString(UnpicklingError, "state is not a dictionary");
goto error;
}
dict = PyObject_GetAttrString(inst, "__dict__");
if (dict == NULL)
goto error;
i = 0;
while (PyDict_Next(state, &i, &d_key, &d_value)) {
/* normally the keys for instance attributes are
interned. we should try to do that here. */
Py_INCREF(d_key);
if (PyUnicode_CheckExact(d_key))
PyUnicode_InternInPlace(&d_key);
if (PyObject_SetItem(dict, d_key, d_value) < 0) {
Py_DECREF(d_key);
goto error;
}
Py_DECREF(d_key);
}
Py_DECREF(dict);
}
/* Also set instance attributes from the slotstate dict (if any). */
if (slotstate != NULL) {
PyObject *d_key, *d_value;
Py_ssize_t i;
if (!PyDict_Check(slotstate)) {
PyErr_SetString(UnpicklingError,
"slot state is not a dictionary");
goto error;
}
i = 0;
while (PyDict_Next(slotstate, &i, &d_key, &d_value)) {
if (PyObject_SetAttr(inst, d_key, d_value) < 0)
goto error;
}
}
if (0) {
error:
status = -1;
}
Py_DECREF(state);
Py_XDECREF(slotstate);
return status;
}
static int
load_mark(UnpicklerObject *self)
{
/* Note that we split the (pickle.py) stack into two stacks, an
* object stack and a mark stack. Here we push a mark onto the
* mark stack.
*/
if ((self->num_marks + 1) >= self->marks_size) {
size_t alloc;
int *marks;
/* Use the size_t type to check for overflow. */
alloc = ((size_t)self->num_marks << 1) + 20;
if (alloc > PY_SSIZE_T_MAX ||
alloc <= ((size_t)self->num_marks + 1)) {
PyErr_NoMemory();
return -1;
}
if (self->marks == NULL)
marks = (int *)PyMem_Malloc(alloc * sizeof(int));
else
marks = (int *)PyMem_Realloc(self->marks, alloc * sizeof(int));
if (marks == NULL) {
PyErr_NoMemory();
return -1;
}
self->marks = marks;
self->marks_size = (Py_ssize_t)alloc;
}
self->marks[self->num_marks++] = self->stack->length;
return 0;
}
static int
load_reduce(UnpicklerObject *self)
{
PyObject *callable = NULL;
PyObject *argtup = NULL;
PyObject *obj = NULL;
PDATA_POP(self->stack, argtup);
if (argtup == NULL)
return -1;
PDATA_POP(self->stack, callable);
if (callable) {
obj = PyObject_CallObject(callable, argtup);
Py_DECREF(callable);
}
Py_DECREF(argtup);
if (obj == NULL)
return -1;
PDATA_PUSH(self->stack, obj, -1);
return 0;
}
/* Just raises an error if we don't know the protocol specified. PROTO
* is the first opcode for protocols >= 2.
*/
static int
load_proto(UnpicklerObject *self)
{
char *s;
int i;
if (unpickler_read(self, &s, 1) < 0)
return -1;
i = (unsigned char)s[0];
if (i <= HIGHEST_PROTOCOL) {
self->proto = i;
return 0;
}
PyErr_Format(PyExc_ValueError, "unsupported pickle protocol: %d", i);
return -1;
}
static PyObject *
load(UnpicklerObject *self)
{
PyObject *err;
PyObject *value = NULL;
char *s;
self->num_marks = 0;
if (self->stack->length)
Pdata_clear(self->stack, 0);
/* Convenient macros for the dispatch while-switch loop just below. */
#define OP(opcode, load_func) \
case opcode: if (load_func(self) < 0) break; continue;
#define OP_ARG(opcode, load_func, arg) \
case opcode: if (load_func(self, (arg)) < 0) break; continue;
while (1) {
if (unpickler_read(self, &s, 1) < 0)
break;
switch ((enum opcode)s[0]) {
OP(NONE, load_none)
OP(BININT, load_binint)
OP(BININT1, load_binint1)
OP(BININT2, load_binint2)
OP(INT, load_int)
OP(LONG, load_long)
OP_ARG(LONG1, load_counted_long, 1)
OP_ARG(LONG4, load_counted_long, 4)
OP(FLOAT, load_float)
OP(BINFLOAT, load_binfloat)
OP(BINBYTES, load_binbytes)
OP(SHORT_BINBYTES, load_short_binbytes)
OP(BINSTRING, load_binstring)
OP(SHORT_BINSTRING, load_short_binstring)
OP(STRING, load_string)
OP(UNICODE, load_unicode)
OP(BINUNICODE, load_binunicode)
OP_ARG(EMPTY_TUPLE, load_counted_tuple, 0)
OP_ARG(TUPLE1, load_counted_tuple, 1)
OP_ARG(TUPLE2, load_counted_tuple, 2)
OP_ARG(TUPLE3, load_counted_tuple, 3)
OP(TUPLE, load_tuple)
OP(EMPTY_LIST, load_empty_list)
OP(LIST, load_list)
OP(EMPTY_DICT, load_empty_dict)
OP(DICT, load_dict)
OP(OBJ, load_obj)
OP(INST, load_inst)
OP(NEWOBJ, load_newobj)
OP(GLOBAL, load_global)
OP(APPEND, load_append)
OP(APPENDS, load_appends)
OP(BUILD, load_build)
OP(DUP, load_dup)
OP(BINGET, load_binget)
OP(LONG_BINGET, load_long_binget)
OP(GET, load_get)
OP(MARK, load_mark)
OP(BINPUT, load_binput)
OP(LONG_BINPUT, load_long_binput)
OP(PUT, load_put)
OP(POP, load_pop)
OP(POP_MARK, load_pop_mark)
OP(SETITEM, load_setitem)
OP(SETITEMS, load_setitems)
OP(PERSID, load_persid)
OP(BINPERSID, load_binpersid)
OP(REDUCE, load_reduce)
OP(PROTO, load_proto)
OP_ARG(EXT1, load_extension, 1)
OP_ARG(EXT2, load_extension, 2)
OP_ARG(EXT4, load_extension, 4)
OP_ARG(NEWTRUE, load_bool, Py_True)
OP_ARG(NEWFALSE, load_bool, Py_False)
case STOP:
break;
case '\0':
PyErr_SetNone(PyExc_EOFError);
return NULL;
default:
PyErr_Format(UnpicklingError,
"invalid load key, '%c'.", s[0]);
return NULL;
}
break; /* and we are done! */
}
/* XXX: It is not clear what this is actually for. */
if ((err = PyErr_Occurred())) {
if (err == PyExc_EOFError) {
PyErr_SetNone(PyExc_EOFError);
}
return NULL;
}
PDATA_POP(self->stack, value);
return value;
}
PyDoc_STRVAR(Unpickler_load_doc,
"load() -> object. Load a pickle."
"\n"
"Read a pickled object representation from the open file object given in\n"
"the constructor, and return the reconstituted object hierarchy specified\n"
"therein.\n");
static PyObject *
Unpickler_load(UnpicklerObject *self)
{
/* Check whether the Unpickler was initialized correctly. This prevents
segfaulting if a subclass overridden __init__ with a function that does
not call Unpickler.__init__(). Here, we simply ensure that self->read
is not NULL. */
if (self->read == NULL) {
PyErr_Format(UnpicklingError,
"Unpickler.__init__() was not called by %s.__init__()",
Py_TYPE(self)->tp_name);
return NULL;
}
return load(self);
}
/* The name of find_class() is misleading. In newer pickle protocols, this
function is used for loading any global (i.e., functions), not just
classes. The name is kept only for backward compatibility. */
PyDoc_STRVAR(Unpickler_find_class_doc,
"find_class(module_name, global_name) -> object.\n"
"\n"
"Return an object from a specified module, importing the module if\n"
"necessary. Subclasses may override this method (e.g. to restrict\n"
"unpickling of arbitrary classes and functions).\n"
"\n"
"This method is called whenever a class or a function object is\n"
"needed. Both arguments passed are str objects.\n");
static PyObject *
Unpickler_find_class(UnpicklerObject *self, PyObject *args)
{
PyObject *global;
PyObject *modules_dict;
PyObject *module;
PyObject *module_name, *global_name;
if (!PyArg_UnpackTuple(args, "find_class", 2, 2,
&module_name, &global_name))
return NULL;
/* Try to map the old names used in Python 2.x to the new ones used in
Python 3.x. We do this only with old pickle protocols and when the
user has not disabled the feature. */
if (self->proto < 3 && self->fix_imports) {
PyObject *key;
PyObject *item;
/* Check if the global (i.e., a function or a class) was renamed
or moved to another module. */
key = PyTuple_Pack(2, module_name, global_name);
if (key == NULL)
return NULL;
item = PyDict_GetItemWithError(name_mapping_2to3, key);
Py_DECREF(key);
if (item) {
if (!PyTuple_Check(item) || PyTuple_GET_SIZE(item) != 2) {
PyErr_Format(PyExc_RuntimeError,
"_compat_pickle.NAME_MAPPING values should be "
"2-tuples, not %.200s", Py_TYPE(item)->tp_name);
return NULL;
}
module_name = PyTuple_GET_ITEM(item, 0);
global_name = PyTuple_GET_ITEM(item, 1);
if (!PyUnicode_Check(module_name) ||
!PyUnicode_Check(global_name)) {
PyErr_Format(PyExc_RuntimeError,
"_compat_pickle.NAME_MAPPING values should be "
"pairs of str, not (%.200s, %.200s)",
Py_TYPE(module_name)->tp_name,
Py_TYPE(global_name)->tp_name);
return NULL;
}
}
else if (PyErr_Occurred()) {
return NULL;
}
/* Check if the module was renamed. */
item = PyDict_GetItemWithError(import_mapping_2to3, module_name);
if (item) {
if (!PyUnicode_Check(item)) {
PyErr_Format(PyExc_RuntimeError,
"_compat_pickle.IMPORT_MAPPING values should be "
"strings, not %.200s", Py_TYPE(item)->tp_name);
return NULL;
}
module_name = item;
}
else if (PyErr_Occurred()) {
return NULL;
}
}
modules_dict = PySys_GetObject("modules");
if (modules_dict == NULL)
return NULL;
module = PyDict_GetItemWithError(modules_dict, module_name);
if (module == NULL) {
if (PyErr_Occurred())
return NULL;
module = PyImport_Import(module_name);
if (module == NULL)
return NULL;
global = PyObject_GetAttr(module, global_name);
Py_DECREF(module);
}
else {
global = PyObject_GetAttr(module, global_name);
}
return global;
}
static struct PyMethodDef Unpickler_methods[] = {
{"load", (PyCFunction)Unpickler_load, METH_NOARGS,
Unpickler_load_doc},
{"find_class", (PyCFunction)Unpickler_find_class, METH_VARARGS,
Unpickler_find_class_doc},
{NULL, NULL} /* sentinel */
};
static void
Unpickler_dealloc(UnpicklerObject *self)
{
PyObject_GC_UnTrack((PyObject *)self);
Py_XDECREF(self->readline);
Py_XDECREF(self->read);
Py_XDECREF(self->memo);
Py_XDECREF(self->stack);
Py_XDECREF(self->pers_func);
Py_XDECREF(self->arg);
Py_XDECREF(self->last_string);
PyMem_Free(self->marks);
free(self->encoding);
free(self->errors);
Py_TYPE(self)->tp_free((PyObject *)self);
}
static int
Unpickler_traverse(UnpicklerObject *self, visitproc visit, void *arg)
{
Py_VISIT(self->readline);
Py_VISIT(self->read);
Py_VISIT(self->memo);
Py_VISIT(self->stack);
Py_VISIT(self->pers_func);
Py_VISIT(self->arg);
Py_VISIT(self->last_string);
return 0;
}
static int
Unpickler_clear(UnpicklerObject *self)
{
Py_CLEAR(self->readline);
Py_CLEAR(self->read);
Py_CLEAR(self->memo);
Py_CLEAR(self->stack);
Py_CLEAR(self->pers_func);
Py_CLEAR(self->arg);
Py_CLEAR(self->last_string);
PyMem_Free(self->marks);
self->marks = NULL;
free(self->encoding);
self->encoding = NULL;
free(self->errors);
self->errors = NULL;
return 0;
}
PyDoc_STRVAR(Unpickler_doc,
"Unpickler(file, *, encoding='ASCII', errors='strict')"
"\n"
"This takes a binary file for reading a pickle data stream.\n"
"\n"
"The protocol version of the pickle is detected automatically, so no\n"
"proto argument is needed.\n"
"\n"
"The file-like object must have two methods, a read() method\n"
"that takes an integer argument, and a readline() method that\n"
"requires no arguments. Both methods should return bytes.\n"
"Thus file-like object can be a binary file object opened for\n"
"reading, a BytesIO object, or any other custom object that\n"
"meets this interface.\n"
"\n"
"Optional keyword arguments are *fix_imports*, *encoding* and *errors*,\n"
"which are used to control compatiblity support for pickle stream\n"
"generated by Python 2.x. If *fix_imports* is True, pickle will try to\n"
"map the old Python 2.x names to the new names used in Python 3.x. The\n"
"*encoding* and *errors* tell pickle how to decode 8-bit string\n"
"instances pickled by Python 2.x; these default to 'ASCII' and\n"
"'strict', respectively.\n");
static int
Unpickler_init(UnpicklerObject *self, PyObject *args, PyObject *kwds)
{
static char *kwlist[] = {"file", "fix_imports", "encoding", "errors", 0};
PyObject *file;
int fix_imports = 1;
char *encoding = NULL;
char *errors = NULL;
/* XXX: That is an horrible error message. But, I don't know how to do
better... */
if (Py_SIZE(args) != 1) {
PyErr_Format(PyExc_TypeError,
"%s takes exactly one positional argument (%zd given)",
Py_TYPE(self)->tp_name, Py_SIZE(args));
return -1;
}
/* Arguments parsing needs to be done in the __init__() method to allow
subclasses to define their own __init__() method, which may (or may
not) support Unpickler arguments. However, this means we need to be
extra careful in the other Unpickler methods, since a subclass could
forget to call Unpickler.__init__() thus breaking our internal
invariants. */
if (!PyArg_ParseTupleAndKeywords(args, kwds, "O|iss:Unpickler", kwlist,
&file, &fix_imports, &encoding, &errors))
return -1;
/* In case of multiple __init__() calls, clear previous content. */
if (self->read != NULL)
(void)Unpickler_clear(self);
self->read = PyObject_GetAttrString(file, "read");
self->readline = PyObject_GetAttrString(file, "readline");
if (self->readline == NULL || self->read == NULL)
return -1;
if (encoding == NULL)
encoding = "ASCII";
if (errors == NULL)
errors = "strict";
self->encoding = strdup(encoding);
self->errors = strdup(errors);
if (self->encoding == NULL || self->errors == NULL) {
PyErr_NoMemory();
return -1;
}
if (PyObject_HasAttrString((PyObject *)self, "persistent_load")) {
self->pers_func = PyObject_GetAttrString((PyObject *)self,
"persistent_load");
if (self->pers_func == NULL)
return -1;
}
else {
self->pers_func = NULL;
}
self->stack = (Pdata *)Pdata_New();
if (self->stack == NULL)
return -1;
self->memo = PyDict_New();
if (self->memo == NULL)
return -1;
self->last_string = NULL;
self->arg = NULL;
self->proto = 0;
self->fix_imports = fix_imports;
return 0;
}
static PyObject *
Unpickler_get_memo(UnpicklerObject *self)
{
if (self->memo == NULL)
PyErr_SetString(PyExc_AttributeError, "memo");
else
Py_INCREF(self->memo);
return self->memo;
}
static int
Unpickler_set_memo(UnpicklerObject *self, PyObject *value)
{
PyObject *tmp;
if (value == NULL) {
PyErr_SetString(PyExc_TypeError,
"attribute deletion is not supported");
return -1;
}
if (!PyDict_Check(value)) {
PyErr_SetString(PyExc_TypeError, "memo must be a dictionary");
return -1;
}
tmp = self->memo;
Py_INCREF(value);
self->memo = value;
Py_XDECREF(tmp);
return 0;
}
static PyObject *
Unpickler_get_persload(UnpicklerObject *self)
{
if (self->pers_func == NULL)
PyErr_SetString(PyExc_AttributeError, "persistent_load");
else
Py_INCREF(self->pers_func);
return self->pers_func;
}
static int
Unpickler_set_persload(UnpicklerObject *self, PyObject *value)
{
PyObject *tmp;
if (value == NULL) {
PyErr_SetString(PyExc_TypeError,
"attribute deletion is not supported");
return -1;
}
if (!PyCallable_Check(value)) {
PyErr_SetString(PyExc_TypeError,
"persistent_load must be a callable taking "
"one argument");
return -1;
}
tmp = self->pers_func;
Py_INCREF(value);
self->pers_func = value;
Py_XDECREF(tmp); /* self->pers_func can be NULL, so be careful. */
return 0;
}
static PyGetSetDef Unpickler_getsets[] = {
{"memo", (getter)Unpickler_get_memo, (setter)Unpickler_set_memo},
{"persistent_load", (getter)Unpickler_get_persload,
(setter)Unpickler_set_persload},
{NULL}
};
static PyTypeObject Unpickler_Type = {
PyVarObject_HEAD_INIT(NULL, 0)
"_pickle.Unpickler", /*tp_name*/
sizeof(UnpicklerObject), /*tp_basicsize*/
0, /*tp_itemsize*/
(destructor)Unpickler_dealloc, /*tp_dealloc*/
0, /*tp_print*/
0, /*tp_getattr*/
0, /*tp_setattr*/
0, /*tp_reserved*/
0, /*tp_repr*/
0, /*tp_as_number*/
0, /*tp_as_sequence*/
0, /*tp_as_mapping*/
0, /*tp_hash*/
0, /*tp_call*/
0, /*tp_str*/
0, /*tp_getattro*/
0, /*tp_setattro*/
0, /*tp_as_buffer*/
Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE | Py_TPFLAGS_HAVE_GC,
Unpickler_doc, /*tp_doc*/
(traverseproc)Unpickler_traverse, /*tp_traverse*/
(inquiry)Unpickler_clear, /*tp_clear*/
0, /*tp_richcompare*/
0, /*tp_weaklistoffset*/
0, /*tp_iter*/
0, /*tp_iternext*/
Unpickler_methods, /*tp_methods*/
0, /*tp_members*/
Unpickler_getsets, /*tp_getset*/
0, /*tp_base*/
0, /*tp_dict*/
0, /*tp_descr_get*/
0, /*tp_descr_set*/
0, /*tp_dictoffset*/
(initproc)Unpickler_init, /*tp_init*/
PyType_GenericAlloc, /*tp_alloc*/
PyType_GenericNew, /*tp_new*/
PyObject_GC_Del, /*tp_free*/
0, /*tp_is_gc*/
};
static int
initmodule(void)
{
PyObject *copyreg = NULL;
PyObject *compat_pickle = NULL;
/* XXX: We should ensure that the types of the dictionaries imported are
exactly PyDict objects. Otherwise, it is possible to crash the pickle
since we use the PyDict API directly to access these dictionaries. */
copyreg = PyImport_ImportModule("copyreg");
if (!copyreg)
goto error;
dispatch_table = PyObject_GetAttrString(copyreg, "dispatch_table");
if (!dispatch_table)
goto error;
extension_registry = \
PyObject_GetAttrString(copyreg, "_extension_registry");
if (!extension_registry)
goto error;
inverted_registry = PyObject_GetAttrString(copyreg, "_inverted_registry");
if (!inverted_registry)
goto error;
extension_cache = PyObject_GetAttrString(copyreg, "_extension_cache");
if (!extension_cache)
goto error;
Py_CLEAR(copyreg);
/* Load the 2.x -> 3.x stdlib module mapping tables */
compat_pickle = PyImport_ImportModule("_compat_pickle");
if (!compat_pickle)
goto error;
name_mapping_2to3 = PyObject_GetAttrString(compat_pickle, "NAME_MAPPING");
if (!name_mapping_2to3)
goto error;
if (!PyDict_CheckExact(name_mapping_2to3)) {
PyErr_Format(PyExc_RuntimeError,
"_compat_pickle.NAME_MAPPING should be a dict, not %.200s",
Py_TYPE(name_mapping_2to3)->tp_name);
goto error;
}
import_mapping_2to3 = PyObject_GetAttrString(compat_pickle,
"IMPORT_MAPPING");
if (!import_mapping_2to3)
goto error;
if (!PyDict_CheckExact(import_mapping_2to3)) {
PyErr_Format(PyExc_RuntimeError,
"_compat_pickle.IMPORT_MAPPING should be a dict, "
"not %.200s", Py_TYPE(import_mapping_2to3)->tp_name);
goto error;
}
/* ... and the 3.x -> 2.x mapping tables */
name_mapping_3to2 = PyObject_GetAttrString(compat_pickle,
"REVERSE_NAME_MAPPING");
if (!name_mapping_3to2)
goto error;
if (!PyDict_CheckExact(name_mapping_3to2)) {
PyErr_Format(PyExc_RuntimeError,
"_compat_pickle.REVERSE_NAME_MAPPING should be a dict, "
"not %.200s", Py_TYPE(name_mapping_3to2)->tp_name);
goto error;
}
import_mapping_3to2 = PyObject_GetAttrString(compat_pickle,
"REVERSE_IMPORT_MAPPING");
if (!import_mapping_3to2)
goto error;
if (!PyDict_CheckExact(import_mapping_3to2)) {
PyErr_Format(PyExc_RuntimeError,
"_compat_pickle.REVERSE_IMPORT_MAPPING should be a dict, "
"not %.200s", Py_TYPE(import_mapping_3to2)->tp_name);
goto error;
}
Py_CLEAR(compat_pickle);
empty_tuple = PyTuple_New(0);
if (empty_tuple == NULL)
goto error;
two_tuple = PyTuple_New(2);
if (two_tuple == NULL)
goto error;
/* We use this temp container with no regard to refcounts, or to
* keeping containees alive. Exempt from GC, because we don't
* want anything looking at two_tuple() by magic.
*/
PyObject_GC_UnTrack(two_tuple);
return 0;
error:
Py_CLEAR(copyreg);
Py_CLEAR(dispatch_table);
Py_CLEAR(extension_registry);
Py_CLEAR(inverted_registry);
Py_CLEAR(extension_cache);
Py_CLEAR(compat_pickle);
Py_CLEAR(name_mapping_2to3);
Py_CLEAR(import_mapping_2to3);
Py_CLEAR(name_mapping_3to2);
Py_CLEAR(import_mapping_3to2);
Py_CLEAR(empty_tuple);
Py_CLEAR(two_tuple);
return -1;
}
static struct PyModuleDef _picklemodule = {
PyModuleDef_HEAD_INIT,
"_pickle",
pickle_module_doc,
-1,
NULL,
NULL,
NULL,
NULL,
NULL
};
PyMODINIT_FUNC
PyInit__pickle(void)
{
PyObject *m;
if (PyType_Ready(&Unpickler_Type) < 0)
return NULL;
if (PyType_Ready(&Pickler_Type) < 0)
return NULL;
if (PyType_Ready(&Pdata_Type) < 0)
return NULL;
/* Create the module and add the functions. */
m = PyModule_Create(&_picklemodule);
if (m == NULL)
return NULL;
if (PyModule_AddObject(m, "Pickler", (PyObject *)&Pickler_Type) < 0)
return NULL;
if (PyModule_AddObject(m, "Unpickler", (PyObject *)&Unpickler_Type) < 0)
return NULL;
/* Initialize the exceptions. */
PickleError = PyErr_NewException("_pickle.PickleError", NULL, NULL);
if (PickleError == NULL)
return NULL;
PicklingError = \
PyErr_NewException("_pickle.PicklingError", PickleError, NULL);
if (PicklingError == NULL)
return NULL;
UnpicklingError = \
PyErr_NewException("_pickle.UnpicklingError", PickleError, NULL);
if (UnpicklingError == NULL)
return NULL;
if (PyModule_AddObject(m, "PickleError", PickleError) < 0)
return NULL;
if (PyModule_AddObject(m, "PicklingError", PicklingError) < 0)
return NULL;
if (PyModule_AddObject(m, "UnpicklingError", UnpicklingError) < 0)
return NULL;
if (initmodule() < 0)
return NULL;
return m;
}
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