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			4677 lines
		
	
	
	
		
			126 KiB
		
	
	
	
		
			C
		
	
	
	
	
	
			
		
		
	
	
			4677 lines
		
	
	
	
		
			126 KiB
		
	
	
	
		
			C
		
	
	
	
	
	
| #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;
 | |
| static PyObject *PicklingError;
 | |
| static PyObject *UnpicklingError;
 | |
| 
 | |
| /* copyreg.dispatch_table, {type_object: pickling_function} */
 | |
| static PyObject *dispatch_table;
 | |
| /* For EXT[124] opcodes. */
 | |
| /* copyreg._extension_registry, {(module_name, function_name): code} */
 | |
| static PyObject *extension_registry;
 | |
| /* copyreg._inverted_registry, {code: (module_name, function_name)} */
 | |
| static PyObject *inverted_registry;
 | |
| /* copyreg._extension_cache, {code: object} */
 | |
| static PyObject *extension_cache;
 | |
| 
 | |
| /* XXX: Are these really nescessary? */
 | |
| /* As the name says, an empty tuple. */
 | |
| static PyObject *empty_tuple;
 | |
| /* For looking up name pairs in copyreg._extension_registry. */
 | |
| static PyObject *two_tuple;
 | |
| 
 | |
| 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;
 | |
|     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. */
 | |
| } 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., random.getrandbits), __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 {
 | |
|         char pdata[250];
 | |
|         pdata[0] = FLOAT;
 | |
|         PyOS_ascii_formatd(pdata + 1, sizeof(pdata) - 2, "%.17g", x);
 | |
|         /* Extend the formatted string with a newline character */
 | |
|         strcat(pdata, "\n");
 | |
| 
 | |
|         if (pickler_write(self, pdata, strlen(pdata)) < 0)
 | |
|             return -1;
 | |
|     }
 | |
| 
 | |
|     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_AsUTF8String(obj);
 | |
|         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;
 | |
|         status = batch_list(self, iter);
 | |
|         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;
 | |
| }
 | |
| 
 | |
| 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. */
 | |
|         items = PyObject_CallMethod(obj, "items", "()");
 | |
|         if (items == NULL)
 | |
|             goto error;
 | |
|         iter = PyObject_GetIter(items);
 | |
|         Py_DECREF(items);
 | |
|         if (iter == NULL)
 | |
|             goto error;
 | |
|         status = batch_dict(self, iter);
 | |
|         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;
 | |
|         }
 | |
| 
 | |
|         /* 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") < 0)
 | |
|         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");
 | |
| 
 | |
| static int
 | |
| Pickler_init(PicklerObject *self, PyObject *args, PyObject *kwds)
 | |
| {
 | |
|     static char *kwlist[] = {"file", "protocol", 0};
 | |
|     PyObject *file;
 | |
|     PyObject *proto_obj = NULL;
 | |
|     long proto = 0;
 | |
| 
 | |
|     if (!PyArg_ParseTupleAndKeywords(args, kwds, "O|O:Pickler",
 | |
|                                      kwlist, &file, &proto_obj))
 | |
|         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 < 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;
 | |
| 
 | |
|     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_ascii_strtod(s, &endptr);
 | |
| 
 | |
|     if ((errno == ERANGE && !(fabs(d) <= 1.0)) ||
 | |
|         (endptr[0] != '\n') || (endptr[1] != '\0')) {
 | |
|         PyErr_SetString(PyExc_ValueError, "could not convert string to float");
 | |
|         return -1;
 | |
|     }
 | |
| 
 | |
|     if ((value = PyFloat_FromDouble(d)) == 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, NULL);
 | |
|     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 *r = NULL;
 | |
| 
 | |
|     /* XXX: The pickle.py module does not create instances this way when the
 | |
|        args tuple is empty. See Unpickler._instantiate(). */
 | |
|     if ((r = PyObject_CallObject(cls, args)))
 | |
|         return r;
 | |
| 
 | |
|     /* XXX: Is this still nescessary? */
 | |
|     {
 | |
|         PyObject *tp, *v, *tb, *tmp_value;
 | |
| 
 | |
|         PyErr_Fetch(&tp, &v, &tb);
 | |
|         tmp_value = v;
 | |
|         /* NULL occurs when there was a KeyboardInterrupt */
 | |
|         if (tmp_value == NULL)
 | |
|             tmp_value = Py_None;
 | |
|         if ((r = PyTuple_Pack(3, tmp_value, cls, args))) {
 | |
|             Py_XDECREF(v);
 | |
|             v = r;
 | |
|         }
 | |
|         PyErr_Restore(tp, v, tb);
 | |
|     }
 | |
|     return NULL;
 | |
| }
 | |
| 
 | |
| 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;
 | |
| 
 | |
|     if ((len = self->stack->length) <= 0)
 | |
|         return stack_underflow();
 | |
| 
 | |
|     /* 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.
 | |
|      */
 | |
| 
 | |
|     if ((self->num_marks > 0) && (self->marks[self->num_marks - 1] == len))
 | |
|         self->num_marks--;
 | |
|     else {
 | |
|         len--;
 | |
|         Py_DECREF(self->stack->data[len]);
 | |
|         self->stack->length = len;
 | |
|     }
 | |
| 
 | |
|     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;
 | |
| 
 | |
|         if (!PyDict_Check(state)) {
 | |
|             PyErr_SetString(UnpicklingError, "state is not a dictionary");
 | |
|             goto error;
 | |
|         }
 | |
|         dict = PyObject_GetAttrString(inst, "__dict__");
 | |
|         if (dict == NULL)
 | |
|             goto error;
 | |
| 
 | |
|         PyDict_Update(dict, state);
 | |
|         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 = instantiate(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)
 | |
|         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;
 | |
| 
 | |
|     modules_dict = PySys_GetObject("modules");
 | |
|     if (modules_dict == NULL)
 | |
|         return NULL;
 | |
| 
 | |
|     module = PyDict_GetItem(modules_dict, module_name);
 | |
|     if (module == 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 encoding and errors, which are\n"
 | |
| "used to decode 8-bit string instances pickled by Python 2.x.\n"
 | |
| "These default to 'ASCII' and 'strict', respectively.\n");
 | |
| 
 | |
| static int
 | |
| Unpickler_init(UnpicklerObject *self, PyObject *args, PyObject *kwds)
 | |
| {
 | |
|     static char *kwlist[] = {"file", "encoding", "errors", 0};
 | |
|     PyObject *file;
 | |
|     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|ss:Unpickler", kwlist,
 | |
|                                      &file, &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;
 | |
| 
 | |
|     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
 | |
| init_stuff(void)
 | |
| {
 | |
|     PyObject *copyreg;
 | |
| 
 | |
|     copyreg = PyImport_ImportModule("copyreg");
 | |
|     if (!copyreg)
 | |
|         return -1;
 | |
| 
 | |
|     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_DECREF(copyreg);
 | |
| 
 | |
|     empty_tuple = PyTuple_New(0);
 | |
|     if (empty_tuple == NULL)
 | |
|         return -1;
 | |
| 
 | |
|     two_tuple = PyTuple_New(2);
 | |
|     if (two_tuple == NULL)
 | |
|         return -1;
 | |
|     /* 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_DECREF(copyreg);
 | |
|     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 (init_stuff() < 0)
 | |
|         return NULL;
 | |
| 
 | |
|     return m;
 | |
| }
 | 
