Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 1 | #include "Python.h" |
| 2 | #include "structmember.h" |
| 3 | |
| 4 | PyDoc_STRVAR(pickle_module_doc, |
| 5 | "Optimized C implementation for the Python pickle module."); |
| 6 | |
| 7 | /* Bump this when new opcodes are added to the pickle protocol. */ |
| 8 | enum { |
| 9 | HIGHEST_PROTOCOL = 3, |
| 10 | DEFAULT_PROTOCOL = 3 |
| 11 | }; |
| 12 | |
| 13 | |
| 14 | /* Pickle opcodes. These must be kept updated with pickle.py. |
| 15 | Extensive docs are in pickletools.py. */ |
| 16 | enum opcode { |
| 17 | MARK = '(', |
| 18 | STOP = '.', |
| 19 | POP = '0', |
| 20 | POP_MARK = '1', |
| 21 | DUP = '2', |
| 22 | FLOAT = 'F', |
| 23 | INT = 'I', |
| 24 | BININT = 'J', |
| 25 | BININT1 = 'K', |
| 26 | LONG = 'L', |
| 27 | BININT2 = 'M', |
| 28 | NONE = 'N', |
| 29 | PERSID = 'P', |
| 30 | BINPERSID = 'Q', |
| 31 | REDUCE = 'R', |
| 32 | STRING = 'S', |
| 33 | BINSTRING = 'T', |
| 34 | SHORT_BINSTRING = 'U', |
| 35 | UNICODE = 'V', |
| 36 | BINUNICODE = 'X', |
| 37 | APPEND = 'a', |
| 38 | BUILD = 'b', |
| 39 | GLOBAL = 'c', |
| 40 | DICT = 'd', |
| 41 | EMPTY_DICT = '}', |
| 42 | APPENDS = 'e', |
| 43 | GET = 'g', |
| 44 | BINGET = 'h', |
| 45 | INST = 'i', |
| 46 | LONG_BINGET = 'j', |
| 47 | LIST = 'l', |
| 48 | EMPTY_LIST = ']', |
| 49 | OBJ = 'o', |
| 50 | PUT = 'p', |
| 51 | BINPUT = 'q', |
| 52 | LONG_BINPUT = 'r', |
| 53 | SETITEM = 's', |
| 54 | TUPLE = 't', |
| 55 | EMPTY_TUPLE = ')', |
| 56 | SETITEMS = 'u', |
| 57 | BINFLOAT = 'G', |
| 58 | |
| 59 | /* Protocol 2. */ |
| 60 | PROTO = '\x80', |
| 61 | NEWOBJ = '\x81', |
| 62 | EXT1 = '\x82', |
| 63 | EXT2 = '\x83', |
| 64 | EXT4 = '\x84', |
| 65 | TUPLE1 = '\x85', |
| 66 | TUPLE2 = '\x86', |
| 67 | TUPLE3 = '\x87', |
| 68 | NEWTRUE = '\x88', |
| 69 | NEWFALSE = '\x89', |
| 70 | LONG1 = '\x8a', |
| 71 | LONG4 = '\x8b', |
| 72 | |
| 73 | /* Protocol 3 (Python 3.x) */ |
| 74 | BINBYTES = 'B', |
| 75 | SHORT_BINBYTES = 'C', |
| 76 | }; |
| 77 | |
| 78 | /* These aren't opcodes -- they're ways to pickle bools before protocol 2 |
| 79 | * so that unpicklers written before bools were introduced unpickle them |
| 80 | * as ints, but unpicklers after can recognize that bools were intended. |
| 81 | * Note that protocol 2 added direct ways to pickle bools. |
| 82 | */ |
| 83 | #undef TRUE |
| 84 | #define TRUE "I01\n" |
| 85 | #undef FALSE |
| 86 | #define FALSE "I00\n" |
| 87 | |
| 88 | enum { |
| 89 | /* Keep in synch with pickle.Pickler._BATCHSIZE. This is how many elements |
| 90 | batch_list/dict() pumps out before doing APPENDS/SETITEMS. Nothing will |
| 91 | break if this gets out of synch with pickle.py, but it's unclear that would |
| 92 | help anything either. */ |
| 93 | BATCHSIZE = 1000, |
| 94 | |
| 95 | /* Nesting limit until Pickler, when running in "fast mode", starts |
| 96 | checking for self-referential data-structures. */ |
| 97 | FAST_NESTING_LIMIT = 50, |
| 98 | |
| 99 | /* Size of the write buffer of Pickler. Higher values will reduce the |
| 100 | number of calls to the write() method of the output stream. */ |
| 101 | WRITE_BUF_SIZE = 256, |
| 102 | }; |
| 103 | |
| 104 | /* Exception classes for pickle. These should override the ones defined in |
| 105 | pickle.py, when the C-optimized Pickler and Unpickler are used. */ |
Antoine Pitrou | d9dfaa9 | 2009-06-04 20:32:06 +0000 | [diff] [blame] | 106 | static PyObject *PickleError = NULL; |
| 107 | static PyObject *PicklingError = NULL; |
| 108 | static PyObject *UnpicklingError = NULL; |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 109 | |
| 110 | /* copyreg.dispatch_table, {type_object: pickling_function} */ |
Antoine Pitrou | d9dfaa9 | 2009-06-04 20:32:06 +0000 | [diff] [blame] | 111 | static PyObject *dispatch_table = NULL; |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 112 | /* For EXT[124] opcodes. */ |
| 113 | /* copyreg._extension_registry, {(module_name, function_name): code} */ |
Antoine Pitrou | d9dfaa9 | 2009-06-04 20:32:06 +0000 | [diff] [blame] | 114 | static PyObject *extension_registry = NULL; |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 115 | /* copyreg._inverted_registry, {code: (module_name, function_name)} */ |
Antoine Pitrou | d9dfaa9 | 2009-06-04 20:32:06 +0000 | [diff] [blame] | 116 | static PyObject *inverted_registry = NULL; |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 117 | /* copyreg._extension_cache, {code: object} */ |
Antoine Pitrou | d9dfaa9 | 2009-06-04 20:32:06 +0000 | [diff] [blame] | 118 | static PyObject *extension_cache = NULL; |
| 119 | |
| 120 | /* _compat_pickle.NAME_MAPPING, {(oldmodule, oldname): (newmodule, newname)} */ |
| 121 | static PyObject *name_mapping_2to3 = NULL; |
| 122 | /* _compat_pickle.IMPORT_MAPPING, {oldmodule: newmodule} */ |
| 123 | static PyObject *import_mapping_2to3 = NULL; |
| 124 | /* Same, but with REVERSE_NAME_MAPPING / REVERSE_IMPORT_MAPPING */ |
| 125 | static PyObject *name_mapping_3to2 = NULL; |
| 126 | static PyObject *import_mapping_3to2 = NULL; |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 127 | |
| 128 | /* XXX: Are these really nescessary? */ |
| 129 | /* As the name says, an empty tuple. */ |
Antoine Pitrou | d9dfaa9 | 2009-06-04 20:32:06 +0000 | [diff] [blame] | 130 | static PyObject *empty_tuple = NULL; |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 131 | /* For looking up name pairs in copyreg._extension_registry. */ |
Antoine Pitrou | d9dfaa9 | 2009-06-04 20:32:06 +0000 | [diff] [blame] | 132 | static PyObject *two_tuple = NULL; |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 133 | |
| 134 | static int |
| 135 | stack_underflow(void) |
| 136 | { |
| 137 | PyErr_SetString(UnpicklingError, "unpickling stack underflow"); |
| 138 | return -1; |
| 139 | } |
| 140 | |
| 141 | /* Internal data type used as the unpickling stack. */ |
| 142 | typedef struct { |
| 143 | PyObject_HEAD |
| 144 | int length; /* number of initial slots in data currently used */ |
| 145 | int size; /* number of slots in data allocated */ |
| 146 | PyObject **data; |
| 147 | } Pdata; |
| 148 | |
| 149 | static void |
| 150 | Pdata_dealloc(Pdata *self) |
| 151 | { |
| 152 | int i; |
| 153 | PyObject **p; |
| 154 | |
| 155 | for (i = self->length, p = self->data; --i >= 0; p++) { |
| 156 | Py_DECREF(*p); |
| 157 | } |
| 158 | if (self->data) |
| 159 | PyMem_Free(self->data); |
| 160 | PyObject_Del(self); |
| 161 | } |
| 162 | |
| 163 | static PyTypeObject Pdata_Type = { |
| 164 | PyVarObject_HEAD_INIT(NULL, 0) |
| 165 | "_pickle.Pdata", /*tp_name*/ |
| 166 | sizeof(Pdata), /*tp_basicsize*/ |
| 167 | 0, /*tp_itemsize*/ |
| 168 | (destructor)Pdata_dealloc, /*tp_dealloc*/ |
| 169 | }; |
| 170 | |
| 171 | static PyObject * |
| 172 | Pdata_New(void) |
| 173 | { |
| 174 | Pdata *self; |
| 175 | |
| 176 | if (!(self = PyObject_New(Pdata, &Pdata_Type))) |
| 177 | return NULL; |
| 178 | self->size = 8; |
| 179 | self->length = 0; |
| 180 | self->data = PyMem_Malloc(self->size * sizeof(PyObject *)); |
| 181 | if (self->data) |
| 182 | return (PyObject *)self; |
| 183 | Py_DECREF(self); |
| 184 | return PyErr_NoMemory(); |
| 185 | } |
| 186 | |
| 187 | |
| 188 | /* Retain only the initial clearto items. If clearto >= the current |
| 189 | * number of items, this is a (non-erroneous) NOP. |
| 190 | */ |
| 191 | static int |
| 192 | Pdata_clear(Pdata *self, int clearto) |
| 193 | { |
| 194 | int i; |
| 195 | PyObject **p; |
| 196 | |
| 197 | if (clearto < 0) |
| 198 | return stack_underflow(); |
| 199 | if (clearto >= self->length) |
| 200 | return 0; |
| 201 | |
| 202 | for (i = self->length, p = self->data + clearto; --i >= clearto; p++) { |
| 203 | Py_CLEAR(*p); |
| 204 | } |
| 205 | self->length = clearto; |
| 206 | |
| 207 | return 0; |
| 208 | } |
| 209 | |
| 210 | static int |
| 211 | Pdata_grow(Pdata *self) |
| 212 | { |
| 213 | int bigger; |
| 214 | size_t nbytes; |
| 215 | PyObject **tmp; |
| 216 | |
| 217 | bigger = (self->size << 1) + 1; |
| 218 | if (bigger <= 0) /* was 0, or new value overflows */ |
| 219 | goto nomemory; |
| 220 | if ((int)(size_t)bigger != bigger) |
| 221 | goto nomemory; |
| 222 | nbytes = (size_t)bigger * sizeof(PyObject *); |
| 223 | if (nbytes / sizeof(PyObject *) != (size_t)bigger) |
| 224 | goto nomemory; |
| 225 | tmp = PyMem_Realloc(self->data, nbytes); |
| 226 | if (tmp == NULL) |
| 227 | goto nomemory; |
| 228 | self->data = tmp; |
| 229 | self->size = bigger; |
| 230 | return 0; |
| 231 | |
| 232 | nomemory: |
| 233 | PyErr_NoMemory(); |
| 234 | return -1; |
| 235 | } |
| 236 | |
| 237 | /* D is a Pdata*. Pop the topmost element and store it into V, which |
| 238 | * must be an lvalue holding PyObject*. On stack underflow, UnpicklingError |
| 239 | * is raised and V is set to NULL. |
| 240 | */ |
| 241 | static PyObject * |
| 242 | Pdata_pop(Pdata *self) |
| 243 | { |
| 244 | if (self->length == 0) { |
| 245 | PyErr_SetString(UnpicklingError, "bad pickle data"); |
| 246 | return NULL; |
| 247 | } |
| 248 | return self->data[--(self->length)]; |
| 249 | } |
| 250 | #define PDATA_POP(D, V) do { (V) = Pdata_pop((D)); } while (0) |
| 251 | |
| 252 | static int |
| 253 | Pdata_push(Pdata *self, PyObject *obj) |
| 254 | { |
| 255 | if (self->length == self->size && Pdata_grow(self) < 0) { |
| 256 | return -1; |
| 257 | } |
| 258 | self->data[self->length++] = obj; |
| 259 | return 0; |
| 260 | } |
| 261 | |
| 262 | /* Push an object on stack, transferring its ownership to the stack. */ |
| 263 | #define PDATA_PUSH(D, O, ER) do { \ |
| 264 | if (Pdata_push((D), (O)) < 0) return (ER); } while(0) |
| 265 | |
| 266 | /* Push an object on stack, adding a new reference to the object. */ |
| 267 | #define PDATA_APPEND(D, O, ER) do { \ |
| 268 | Py_INCREF((O)); \ |
| 269 | if (Pdata_push((D), (O)) < 0) return (ER); } while(0) |
| 270 | |
| 271 | static PyObject * |
| 272 | Pdata_poptuple(Pdata *self, Py_ssize_t start) |
| 273 | { |
| 274 | PyObject *tuple; |
| 275 | Py_ssize_t len, i, j; |
| 276 | |
| 277 | len = self->length - start; |
| 278 | tuple = PyTuple_New(len); |
| 279 | if (tuple == NULL) |
| 280 | return NULL; |
| 281 | for (i = start, j = 0; j < len; i++, j++) |
| 282 | PyTuple_SET_ITEM(tuple, j, self->data[i]); |
| 283 | |
| 284 | self->length = start; |
| 285 | return tuple; |
| 286 | } |
| 287 | |
| 288 | static PyObject * |
| 289 | Pdata_poplist(Pdata *self, Py_ssize_t start) |
| 290 | { |
| 291 | PyObject *list; |
| 292 | Py_ssize_t len, i, j; |
| 293 | |
| 294 | len = self->length - start; |
| 295 | list = PyList_New(len); |
| 296 | if (list == NULL) |
| 297 | return NULL; |
| 298 | for (i = start, j = 0; j < len; i++, j++) |
| 299 | PyList_SET_ITEM(list, j, self->data[i]); |
| 300 | |
| 301 | self->length = start; |
| 302 | return list; |
| 303 | } |
| 304 | |
| 305 | typedef struct PicklerObject { |
| 306 | PyObject_HEAD |
| 307 | PyObject *write; /* write() method of the output stream */ |
| 308 | PyObject *memo; /* Memo dictionary, keep track of the seen |
| 309 | objects to support self-referential objects |
| 310 | pickling. */ |
| 311 | PyObject *pers_func; /* persistent_id() method, can be NULL */ |
| 312 | PyObject *arg; |
| 313 | int proto; /* Pickle protocol number, >= 0 */ |
| 314 | int bin; /* Boolean, true if proto > 0 */ |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 315 | int buf_size; /* Size of the current buffered pickle data */ |
| 316 | char *write_buf; /* Write buffer, this is to avoid calling the |
| 317 | write() method of the output stream too |
| 318 | often. */ |
| 319 | int fast; /* Enable fast mode if set to a true value. |
| 320 | The fast mode disable the usage of memo, |
| 321 | therefore speeding the pickling process by |
| 322 | not generating superfluous PUT opcodes. It |
| 323 | should not be used if with self-referential |
| 324 | objects. */ |
| 325 | int fast_nesting; |
Antoine Pitrou | d9dfaa9 | 2009-06-04 20:32:06 +0000 | [diff] [blame] | 326 | int fix_imports; /* Indicate whether Pickler should fix |
| 327 | the name of globals for Python 2.x. */ |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 328 | PyObject *fast_memo; |
| 329 | } PicklerObject; |
| 330 | |
| 331 | typedef struct UnpicklerObject { |
| 332 | PyObject_HEAD |
| 333 | Pdata *stack; /* Pickle data stack, store unpickled objects. */ |
| 334 | PyObject *readline; /* readline() method of the output stream */ |
| 335 | PyObject *read; /* read() method of the output stream */ |
| 336 | PyObject *memo; /* Memo dictionary, provide the objects stored |
| 337 | using the PUT opcodes. */ |
| 338 | PyObject *arg; |
| 339 | PyObject *pers_func; /* persistent_load() method, can be NULL. */ |
| 340 | PyObject *last_string; /* Reference to the last string read by the |
| 341 | readline() method. */ |
| 342 | char *buffer; /* Reading buffer. */ |
| 343 | char *encoding; /* Name of the encoding to be used for |
| 344 | decoding strings pickled using Python |
| 345 | 2.x. The default value is "ASCII" */ |
| 346 | char *errors; /* Name of errors handling scheme to used when |
| 347 | decoding strings. The default value is |
| 348 | "strict". */ |
| 349 | int *marks; /* Mark stack, used for unpickling container |
| 350 | objects. */ |
| 351 | Py_ssize_t num_marks; /* Number of marks in the mark stack. */ |
| 352 | Py_ssize_t marks_size; /* Current allocated size of the mark stack. */ |
Antoine Pitrou | d9dfaa9 | 2009-06-04 20:32:06 +0000 | [diff] [blame] | 353 | int proto; /* Protocol of the pickle loaded. */ |
| 354 | int fix_imports; /* Indicate whether Unpickler should fix |
| 355 | the name of globals pickled by Python 2.x. */ |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 356 | } UnpicklerObject; |
| 357 | |
| 358 | /* Forward declarations */ |
| 359 | static int save(PicklerObject *, PyObject *, int); |
| 360 | static int save_reduce(PicklerObject *, PyObject *, PyObject *); |
| 361 | static PyTypeObject Pickler_Type; |
| 362 | static PyTypeObject Unpickler_Type; |
| 363 | |
| 364 | |
| 365 | /* Helpers for creating the argument tuple passed to functions. This has the |
| 366 | performance advantage of calling PyTuple_New() only once. */ |
| 367 | |
| 368 | #define ARG_TUP(self, obj) do { \ |
| 369 | if ((self)->arg || ((self)->arg=PyTuple_New(1))) { \ |
| 370 | Py_XDECREF(PyTuple_GET_ITEM((self)->arg, 0)); \ |
| 371 | PyTuple_SET_ITEM((self)->arg, 0, (obj)); \ |
| 372 | } \ |
| 373 | else { \ |
| 374 | Py_DECREF((obj)); \ |
| 375 | } \ |
| 376 | } while (0) |
| 377 | |
| 378 | #define FREE_ARG_TUP(self) do { \ |
| 379 | if ((self)->arg->ob_refcnt > 1) \ |
| 380 | Py_CLEAR((self)->arg); \ |
| 381 | } while (0) |
| 382 | |
| 383 | /* A temporary cleaner API for fast single argument function call. |
| 384 | |
| 385 | XXX: Does caching the argument tuple provides any real performance benefits? |
| 386 | |
| 387 | A quick benchmark, on a 2.0GHz Athlon64 3200+ running Linux 2.6.24 with |
| 388 | glibc 2.7, tells me that it takes roughly 20,000,000 PyTuple_New(1) calls |
| 389 | when the tuple is retrieved from the freelist (i.e, call PyTuple_New() then |
| 390 | immediately DECREF it) and 1,200,000 calls when allocating brand new tuples |
| 391 | (i.e, call PyTuple_New() and store the returned value in an array), to save |
| 392 | one second (wall clock time). Either ways, the loading time a pickle stream |
| 393 | large enough to generate this number of calls would be massively |
| 394 | overwhelmed by other factors, like I/O throughput, the GC traversal and |
| 395 | object allocation overhead. So, I really doubt these functions provide any |
| 396 | real benefits. |
| 397 | |
| 398 | On the other hand, oprofile reports that pickle spends a lot of time in |
| 399 | these functions. But, that is probably more related to the function call |
| 400 | overhead, than the argument tuple allocation. |
| 401 | |
| 402 | XXX: And, what is the reference behavior of these? Steal, borrow? At first |
| 403 | glance, it seems to steal the reference of 'arg' and borrow the reference |
| 404 | of 'func'. |
| 405 | */ |
| 406 | static PyObject * |
| 407 | pickler_call(PicklerObject *self, PyObject *func, PyObject *arg) |
| 408 | { |
| 409 | PyObject *result = NULL; |
| 410 | |
| 411 | ARG_TUP(self, arg); |
| 412 | if (self->arg) { |
| 413 | result = PyObject_Call(func, self->arg, NULL); |
| 414 | FREE_ARG_TUP(self); |
| 415 | } |
| 416 | return result; |
| 417 | } |
| 418 | |
| 419 | static PyObject * |
| 420 | unpickler_call(UnpicklerObject *self, PyObject *func, PyObject *arg) |
| 421 | { |
| 422 | PyObject *result = NULL; |
| 423 | |
| 424 | ARG_TUP(self, arg); |
| 425 | if (self->arg) { |
| 426 | result = PyObject_Call(func, self->arg, NULL); |
| 427 | FREE_ARG_TUP(self); |
| 428 | } |
| 429 | return result; |
| 430 | } |
| 431 | |
| 432 | static Py_ssize_t |
| 433 | pickler_write(PicklerObject *self, const char *s, Py_ssize_t n) |
| 434 | { |
| 435 | PyObject *data, *result; |
| 436 | |
Amaury Forgeot d'Arc | 87eee63 | 2008-10-17 20:15:53 +0000 | [diff] [blame] | 437 | if (self->write_buf == NULL) { |
| 438 | PyErr_SetString(PyExc_SystemError, "invalid write buffer"); |
| 439 | return -1; |
| 440 | } |
| 441 | |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 442 | if (s == NULL) { |
| 443 | if (!(self->buf_size)) |
| 444 | return 0; |
| 445 | data = PyBytes_FromStringAndSize(self->write_buf, self->buf_size); |
| 446 | if (data == NULL) |
| 447 | return -1; |
| 448 | } |
| 449 | else { |
| 450 | if (self->buf_size && (n + self->buf_size) > WRITE_BUF_SIZE) { |
| 451 | if (pickler_write(self, NULL, 0) < 0) |
| 452 | return -1; |
| 453 | } |
| 454 | |
| 455 | if (n > WRITE_BUF_SIZE) { |
| 456 | if (!(data = PyBytes_FromStringAndSize(s, n))) |
| 457 | return -1; |
| 458 | } |
| 459 | else { |
| 460 | memcpy(self->write_buf + self->buf_size, s, n); |
| 461 | self->buf_size += n; |
| 462 | return n; |
| 463 | } |
| 464 | } |
| 465 | |
| 466 | /* object with write method */ |
| 467 | result = pickler_call(self, self->write, data); |
| 468 | if (result == NULL) |
| 469 | return -1; |
| 470 | |
| 471 | Py_DECREF(result); |
| 472 | self->buf_size = 0; |
| 473 | return n; |
| 474 | } |
| 475 | |
| 476 | /* XXX: These read/readline functions ought to be optimized. Buffered I/O |
| 477 | might help a lot, especially with the new (but much slower) io library. |
| 478 | On the other hand, the added complexity might not worth it. |
| 479 | */ |
| 480 | |
| 481 | /* Read at least n characters from the input stream and set s to the current |
| 482 | reading position. */ |
| 483 | static Py_ssize_t |
| 484 | unpickler_read(UnpicklerObject *self, char **s, Py_ssize_t n) |
| 485 | { |
| 486 | PyObject *len; |
| 487 | PyObject *data; |
| 488 | |
| 489 | len = PyLong_FromSsize_t(n); |
| 490 | if (len == NULL) |
| 491 | return -1; |
| 492 | |
| 493 | data = unpickler_call(self, self->read, len); |
| 494 | if (data == NULL) |
| 495 | return -1; |
| 496 | |
| 497 | /* XXX: Should bytearray be supported too? */ |
| 498 | if (!PyBytes_Check(data)) { |
| 499 | PyErr_SetString(PyExc_ValueError, |
| 500 | "read() from the underlying stream did not" |
| 501 | "return bytes"); |
Amaury Forgeot d'Arc | 5f95257 | 2008-11-25 21:11:54 +0000 | [diff] [blame] | 502 | Py_DECREF(data); |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 503 | return -1; |
| 504 | } |
| 505 | |
Amaury Forgeot d'Arc | 3e4e72f | 2008-11-11 20:05:06 +0000 | [diff] [blame] | 506 | if (PyBytes_GET_SIZE(data) != n) { |
| 507 | PyErr_SetNone(PyExc_EOFError); |
Amaury Forgeot d'Arc | 5f95257 | 2008-11-25 21:11:54 +0000 | [diff] [blame] | 508 | Py_DECREF(data); |
Amaury Forgeot d'Arc | 3e4e72f | 2008-11-11 20:05:06 +0000 | [diff] [blame] | 509 | return -1; |
| 510 | } |
| 511 | |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 512 | Py_XDECREF(self->last_string); |
| 513 | self->last_string = data; |
| 514 | |
| 515 | if (!(*s = PyBytes_AS_STRING(data))) |
| 516 | return -1; |
| 517 | |
| 518 | return n; |
| 519 | } |
| 520 | |
| 521 | static Py_ssize_t |
| 522 | unpickler_readline(UnpicklerObject *self, char **s) |
| 523 | { |
| 524 | PyObject *data; |
| 525 | |
| 526 | data = PyObject_CallObject(self->readline, empty_tuple); |
| 527 | if (data == NULL) |
| 528 | return -1; |
| 529 | |
| 530 | /* XXX: Should bytearray be supported too? */ |
| 531 | if (!PyBytes_Check(data)) { |
| 532 | PyErr_SetString(PyExc_ValueError, |
| 533 | "readline() from the underlying stream did not" |
| 534 | "return bytes"); |
| 535 | return -1; |
| 536 | } |
| 537 | |
| 538 | Py_XDECREF(self->last_string); |
| 539 | self->last_string = data; |
| 540 | |
| 541 | if (!(*s = PyBytes_AS_STRING(data))) |
| 542 | return -1; |
| 543 | |
| 544 | return PyBytes_GET_SIZE(data); |
| 545 | } |
| 546 | |
| 547 | /* Generate a GET opcode for an object stored in the memo. The 'key' argument |
| 548 | should be the address of the object as returned by PyLong_FromVoidPtr(). */ |
| 549 | static int |
| 550 | memo_get(PicklerObject *self, PyObject *key) |
| 551 | { |
| 552 | PyObject *value; |
| 553 | PyObject *memo_id; |
| 554 | long x; |
| 555 | char pdata[30]; |
| 556 | int len; |
| 557 | |
| 558 | value = PyDict_GetItemWithError(self->memo, key); |
| 559 | if (value == NULL) { |
| 560 | if (!PyErr_Occurred()) |
| 561 | PyErr_SetObject(PyExc_KeyError, key); |
| 562 | return -1; |
| 563 | } |
| 564 | |
| 565 | memo_id = PyTuple_GetItem(value, 0); |
| 566 | if (memo_id == NULL) |
| 567 | return -1; |
| 568 | |
| 569 | if (!PyLong_Check(memo_id)) { |
| 570 | PyErr_SetString(PicklingError, "memo id must be an integer"); |
| 571 | return -1; |
| 572 | } |
| 573 | x = PyLong_AsLong(memo_id); |
| 574 | if (x == -1 && PyErr_Occurred()) |
| 575 | return -1; |
| 576 | |
| 577 | if (!self->bin) { |
| 578 | pdata[0] = GET; |
| 579 | PyOS_snprintf(pdata + 1, sizeof(pdata) - 1, "%ld\n", x); |
| 580 | len = (int)strlen(pdata); |
| 581 | } |
| 582 | else { |
| 583 | if (x < 256) { |
| 584 | pdata[0] = BINGET; |
| 585 | pdata[1] = (unsigned char)(x & 0xff); |
| 586 | len = 2; |
| 587 | } |
| 588 | else if (x <= 0xffffffffL) { |
| 589 | pdata[0] = LONG_BINGET; |
| 590 | pdata[1] = (unsigned char)(x & 0xff); |
| 591 | pdata[2] = (unsigned char)((x >> 8) & 0xff); |
| 592 | pdata[3] = (unsigned char)((x >> 16) & 0xff); |
| 593 | pdata[4] = (unsigned char)((x >> 24) & 0xff); |
| 594 | len = 5; |
| 595 | } |
| 596 | else { /* unlikely */ |
| 597 | PyErr_SetString(PicklingError, |
| 598 | "memo id too large for LONG_BINGET"); |
| 599 | return -1; |
| 600 | } |
| 601 | } |
| 602 | |
| 603 | if (pickler_write(self, pdata, len) < 0) |
| 604 | return -1; |
| 605 | |
| 606 | return 0; |
| 607 | } |
| 608 | |
| 609 | /* Store an object in the memo, assign it a new unique ID based on the number |
| 610 | of objects currently stored in the memo and generate a PUT opcode. */ |
| 611 | static int |
| 612 | memo_put(PicklerObject *self, PyObject *obj) |
| 613 | { |
| 614 | PyObject *key = NULL; |
| 615 | PyObject *memo_id = NULL; |
| 616 | PyObject *tuple = NULL; |
| 617 | long x; |
| 618 | char pdata[30]; |
| 619 | int len; |
| 620 | int status = 0; |
| 621 | |
| 622 | if (self->fast) |
| 623 | return 0; |
| 624 | |
| 625 | key = PyLong_FromVoidPtr(obj); |
| 626 | if (key == NULL) |
| 627 | goto error; |
| 628 | if ((x = PyDict_Size(self->memo)) < 0) |
| 629 | goto error; |
| 630 | memo_id = PyLong_FromLong(x); |
| 631 | if (memo_id == NULL) |
| 632 | goto error; |
| 633 | tuple = PyTuple_New(2); |
| 634 | if (tuple == NULL) |
| 635 | goto error; |
| 636 | |
| 637 | Py_INCREF(memo_id); |
| 638 | PyTuple_SET_ITEM(tuple, 0, memo_id); |
| 639 | Py_INCREF(obj); |
| 640 | PyTuple_SET_ITEM(tuple, 1, obj); |
| 641 | if (PyDict_SetItem(self->memo, key, tuple) < 0) |
| 642 | goto error; |
| 643 | |
| 644 | if (!self->bin) { |
| 645 | pdata[0] = PUT; |
| 646 | PyOS_snprintf(pdata + 1, sizeof(pdata) - 1, "%ld\n", x); |
| 647 | len = strlen(pdata); |
| 648 | } |
| 649 | else { |
| 650 | if (x < 256) { |
| 651 | pdata[0] = BINPUT; |
Alexandre Vassalotti | 7634ff5 | 2008-06-13 02:16:06 +0000 | [diff] [blame] | 652 | pdata[1] = (unsigned char)x; |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 653 | len = 2; |
| 654 | } |
| 655 | else if (x <= 0xffffffffL) { |
| 656 | pdata[0] = LONG_BINPUT; |
| 657 | pdata[1] = (unsigned char)(x & 0xff); |
| 658 | pdata[2] = (unsigned char)((x >> 8) & 0xff); |
| 659 | pdata[3] = (unsigned char)((x >> 16) & 0xff); |
| 660 | pdata[4] = (unsigned char)((x >> 24) & 0xff); |
| 661 | len = 5; |
| 662 | } |
| 663 | else { /* unlikely */ |
| 664 | PyErr_SetString(PicklingError, |
| 665 | "memo id too large for LONG_BINPUT"); |
| 666 | return -1; |
| 667 | } |
| 668 | } |
| 669 | |
| 670 | if (pickler_write(self, pdata, len) < 0) |
| 671 | goto error; |
| 672 | |
| 673 | if (0) { |
| 674 | error: |
| 675 | status = -1; |
| 676 | } |
| 677 | |
| 678 | Py_XDECREF(key); |
| 679 | Py_XDECREF(memo_id); |
| 680 | Py_XDECREF(tuple); |
| 681 | |
| 682 | return status; |
| 683 | } |
| 684 | |
| 685 | static PyObject * |
| 686 | whichmodule(PyObject *global, PyObject *global_name) |
| 687 | { |
| 688 | Py_ssize_t i, j; |
| 689 | static PyObject *module_str = NULL; |
| 690 | static PyObject *main_str = NULL; |
| 691 | PyObject *module_name; |
| 692 | PyObject *modules_dict; |
| 693 | PyObject *module; |
| 694 | PyObject *obj; |
| 695 | |
| 696 | if (module_str == NULL) { |
| 697 | module_str = PyUnicode_InternFromString("__module__"); |
| 698 | if (module_str == NULL) |
| 699 | return NULL; |
| 700 | main_str = PyUnicode_InternFromString("__main__"); |
| 701 | if (main_str == NULL) |
| 702 | return NULL; |
| 703 | } |
| 704 | |
| 705 | module_name = PyObject_GetAttr(global, module_str); |
| 706 | |
Alexandre Vassalotti | 0e7aa8c | 2009-04-03 04:17:41 +0000 | [diff] [blame] | 707 | /* In some rare cases (e.g., bound methods of extension types), |
| 708 | __module__ can be None. If it is so, then search sys.modules |
| 709 | for the module of global. */ |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 710 | if (module_name == Py_None) { |
| 711 | Py_DECREF(module_name); |
| 712 | goto search; |
| 713 | } |
| 714 | |
| 715 | if (module_name) { |
| 716 | return module_name; |
| 717 | } |
| 718 | if (PyErr_ExceptionMatches(PyExc_AttributeError)) |
| 719 | PyErr_Clear(); |
| 720 | else |
| 721 | return NULL; |
| 722 | |
| 723 | search: |
| 724 | modules_dict = PySys_GetObject("modules"); |
| 725 | if (modules_dict == NULL) |
| 726 | return NULL; |
| 727 | |
| 728 | i = 0; |
| 729 | module_name = NULL; |
| 730 | while ((j = PyDict_Next(modules_dict, &i, &module_name, &module))) { |
Mark Dickinson | 211c625 | 2009-02-01 10:28:51 +0000 | [diff] [blame] | 731 | if (PyObject_RichCompareBool(module_name, main_str, Py_EQ) == 1) |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 732 | continue; |
| 733 | |
| 734 | obj = PyObject_GetAttr(module, global_name); |
| 735 | if (obj == NULL) { |
| 736 | if (PyErr_ExceptionMatches(PyExc_AttributeError)) |
| 737 | PyErr_Clear(); |
| 738 | else |
| 739 | return NULL; |
| 740 | continue; |
| 741 | } |
| 742 | |
| 743 | if (obj != global) { |
| 744 | Py_DECREF(obj); |
| 745 | continue; |
| 746 | } |
| 747 | |
| 748 | Py_DECREF(obj); |
| 749 | break; |
| 750 | } |
| 751 | |
| 752 | /* If no module is found, use __main__. */ |
| 753 | if (!j) { |
| 754 | module_name = main_str; |
| 755 | } |
| 756 | |
| 757 | Py_INCREF(module_name); |
| 758 | return module_name; |
| 759 | } |
| 760 | |
| 761 | /* fast_save_enter() and fast_save_leave() are guards against recursive |
| 762 | objects when Pickler is used with the "fast mode" (i.e., with object |
| 763 | memoization disabled). If the nesting of a list or dict object exceed |
| 764 | FAST_NESTING_LIMIT, these guards will start keeping an internal |
| 765 | reference to the seen list or dict objects and check whether these objects |
| 766 | are recursive. These are not strictly necessary, since save() has a |
| 767 | hard-coded recursion limit, but they give a nicer error message than the |
| 768 | typical RuntimeError. */ |
| 769 | static int |
| 770 | fast_save_enter(PicklerObject *self, PyObject *obj) |
| 771 | { |
| 772 | /* if fast_nesting < 0, we're doing an error exit. */ |
| 773 | if (++self->fast_nesting >= FAST_NESTING_LIMIT) { |
| 774 | PyObject *key = NULL; |
| 775 | if (self->fast_memo == NULL) { |
| 776 | self->fast_memo = PyDict_New(); |
| 777 | if (self->fast_memo == NULL) { |
| 778 | self->fast_nesting = -1; |
| 779 | return 0; |
| 780 | } |
| 781 | } |
| 782 | key = PyLong_FromVoidPtr(obj); |
| 783 | if (key == NULL) |
| 784 | return 0; |
| 785 | if (PyDict_GetItem(self->fast_memo, key)) { |
| 786 | Py_DECREF(key); |
| 787 | PyErr_Format(PyExc_ValueError, |
| 788 | "fast mode: can't pickle cyclic objects " |
| 789 | "including object type %.200s at %p", |
| 790 | obj->ob_type->tp_name, obj); |
| 791 | self->fast_nesting = -1; |
| 792 | return 0; |
| 793 | } |
| 794 | if (PyDict_SetItem(self->fast_memo, key, Py_None) < 0) { |
| 795 | Py_DECREF(key); |
| 796 | self->fast_nesting = -1; |
| 797 | return 0; |
| 798 | } |
| 799 | Py_DECREF(key); |
| 800 | } |
| 801 | return 1; |
| 802 | } |
| 803 | |
| 804 | static int |
| 805 | fast_save_leave(PicklerObject *self, PyObject *obj) |
| 806 | { |
| 807 | if (self->fast_nesting-- >= FAST_NESTING_LIMIT) { |
| 808 | PyObject *key = PyLong_FromVoidPtr(obj); |
| 809 | if (key == NULL) |
| 810 | return 0; |
| 811 | if (PyDict_DelItem(self->fast_memo, key) < 0) { |
| 812 | Py_DECREF(key); |
| 813 | return 0; |
| 814 | } |
| 815 | Py_DECREF(key); |
| 816 | } |
| 817 | return 1; |
| 818 | } |
| 819 | |
| 820 | static int |
| 821 | save_none(PicklerObject *self, PyObject *obj) |
| 822 | { |
| 823 | const char none_op = NONE; |
| 824 | if (pickler_write(self, &none_op, 1) < 0) |
| 825 | return -1; |
| 826 | |
| 827 | return 0; |
| 828 | } |
| 829 | |
| 830 | static int |
| 831 | save_bool(PicklerObject *self, PyObject *obj) |
| 832 | { |
| 833 | static const char *buf[2] = { FALSE, TRUE }; |
| 834 | const char len[2] = {sizeof(FALSE) - 1, sizeof(TRUE) - 1}; |
| 835 | int p = (obj == Py_True); |
| 836 | |
| 837 | if (self->proto >= 2) { |
| 838 | const char bool_op = p ? NEWTRUE : NEWFALSE; |
| 839 | if (pickler_write(self, &bool_op, 1) < 0) |
| 840 | return -1; |
| 841 | } |
| 842 | else if (pickler_write(self, buf[p], len[p]) < 0) |
| 843 | return -1; |
| 844 | |
| 845 | return 0; |
| 846 | } |
| 847 | |
| 848 | static int |
| 849 | save_int(PicklerObject *self, long x) |
| 850 | { |
| 851 | char pdata[32]; |
| 852 | int len = 0; |
| 853 | |
| 854 | if (!self->bin |
| 855 | #if SIZEOF_LONG > 4 |
| 856 | || x > 0x7fffffffL || x < -0x80000000L |
| 857 | #endif |
| 858 | ) { |
| 859 | /* Text-mode pickle, or long too big to fit in the 4-byte |
| 860 | * signed BININT format: store as a string. |
| 861 | */ |
Mark Dickinson | 8dd0514 | 2009-01-20 20:43:58 +0000 | [diff] [blame] | 862 | pdata[0] = LONG; /* use LONG for consistency with pickle.py */ |
| 863 | PyOS_snprintf(pdata + 1, sizeof(pdata) - 1, "%ldL\n", x); |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 864 | if (pickler_write(self, pdata, strlen(pdata)) < 0) |
| 865 | return -1; |
| 866 | } |
| 867 | else { |
| 868 | /* Binary pickle and x fits in a signed 4-byte int. */ |
| 869 | pdata[1] = (unsigned char)(x & 0xff); |
| 870 | pdata[2] = (unsigned char)((x >> 8) & 0xff); |
| 871 | pdata[3] = (unsigned char)((x >> 16) & 0xff); |
| 872 | pdata[4] = (unsigned char)((x >> 24) & 0xff); |
| 873 | |
| 874 | if ((pdata[4] == 0) && (pdata[3] == 0)) { |
| 875 | if (pdata[2] == 0) { |
| 876 | pdata[0] = BININT1; |
| 877 | len = 2; |
| 878 | } |
| 879 | else { |
| 880 | pdata[0] = BININT2; |
| 881 | len = 3; |
| 882 | } |
| 883 | } |
| 884 | else { |
| 885 | pdata[0] = BININT; |
| 886 | len = 5; |
| 887 | } |
| 888 | |
| 889 | if (pickler_write(self, pdata, len) < 0) |
| 890 | return -1; |
| 891 | } |
| 892 | |
| 893 | return 0; |
| 894 | } |
| 895 | |
| 896 | static int |
| 897 | save_long(PicklerObject *self, PyObject *obj) |
| 898 | { |
| 899 | PyObject *repr = NULL; |
| 900 | Py_ssize_t size; |
| 901 | long val = PyLong_AsLong(obj); |
| 902 | int status = 0; |
| 903 | |
| 904 | const char long_op = LONG; |
| 905 | |
| 906 | if (val == -1 && PyErr_Occurred()) { |
| 907 | /* out of range for int pickling */ |
| 908 | PyErr_Clear(); |
| 909 | } |
| 910 | else |
| 911 | return save_int(self, val); |
| 912 | |
| 913 | if (self->proto >= 2) { |
| 914 | /* Linear-time pickling. */ |
| 915 | size_t nbits; |
| 916 | size_t nbytes; |
| 917 | unsigned char *pdata; |
| 918 | char header[5]; |
| 919 | int i; |
| 920 | int sign = _PyLong_Sign(obj); |
| 921 | |
| 922 | if (sign == 0) { |
| 923 | header[0] = LONG1; |
| 924 | header[1] = 0; /* It's 0 -- an empty bytestring. */ |
| 925 | if (pickler_write(self, header, 2) < 0) |
| 926 | goto error; |
| 927 | return 0; |
| 928 | } |
| 929 | nbits = _PyLong_NumBits(obj); |
| 930 | if (nbits == (size_t)-1 && PyErr_Occurred()) |
| 931 | goto error; |
| 932 | /* How many bytes do we need? There are nbits >> 3 full |
| 933 | * bytes of data, and nbits & 7 leftover bits. If there |
| 934 | * are any leftover bits, then we clearly need another |
| 935 | * byte. Wnat's not so obvious is that we *probably* |
| 936 | * need another byte even if there aren't any leftovers: |
| 937 | * the most-significant bit of the most-significant byte |
| 938 | * acts like a sign bit, and it's usually got a sense |
| 939 | * opposite of the one we need. The exception is longs |
| 940 | * of the form -(2**(8*j-1)) for j > 0. Such a long is |
| 941 | * its own 256's-complement, so has the right sign bit |
| 942 | * even without the extra byte. That's a pain to check |
| 943 | * for in advance, though, so we always grab an extra |
| 944 | * byte at the start, and cut it back later if possible. |
| 945 | */ |
| 946 | nbytes = (nbits >> 3) + 1; |
| 947 | if (nbytes > INT_MAX) { |
| 948 | PyErr_SetString(PyExc_OverflowError, |
| 949 | "long too large to pickle"); |
| 950 | goto error; |
| 951 | } |
Neal Norwitz | 6ae2eb2 | 2008-08-24 23:50:08 +0000 | [diff] [blame] | 952 | repr = PyBytes_FromStringAndSize(NULL, (Py_ssize_t)nbytes); |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 953 | if (repr == NULL) |
| 954 | goto error; |
Neal Norwitz | 6ae2eb2 | 2008-08-24 23:50:08 +0000 | [diff] [blame] | 955 | pdata = (unsigned char *)PyBytes_AS_STRING(repr); |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 956 | i = _PyLong_AsByteArray((PyLongObject *)obj, |
| 957 | pdata, nbytes, |
| 958 | 1 /* little endian */ , 1 /* signed */ ); |
| 959 | if (i < 0) |
| 960 | goto error; |
| 961 | /* If the long is negative, this may be a byte more than |
| 962 | * needed. This is so iff the MSB is all redundant sign |
| 963 | * bits. |
| 964 | */ |
| 965 | if (sign < 0 && |
| 966 | nbytes > 1 && |
| 967 | pdata[nbytes - 1] == 0xff && |
| 968 | (pdata[nbytes - 2] & 0x80) != 0) { |
| 969 | nbytes--; |
| 970 | } |
| 971 | |
| 972 | if (nbytes < 256) { |
| 973 | header[0] = LONG1; |
| 974 | header[1] = (unsigned char)nbytes; |
| 975 | size = 2; |
| 976 | } |
| 977 | else { |
| 978 | header[0] = LONG4; |
| 979 | size = (int)nbytes; |
| 980 | for (i = 1; i < 5; i++) { |
| 981 | header[i] = (unsigned char)(size & 0xff); |
| 982 | size >>= 8; |
| 983 | } |
| 984 | size = 5; |
| 985 | } |
| 986 | if (pickler_write(self, header, size) < 0 || |
| 987 | pickler_write(self, (char *)pdata, (int)nbytes) < 0) |
| 988 | goto error; |
| 989 | } |
| 990 | else { |
| 991 | char *string; |
| 992 | |
Mark Dickinson | 8dd0514 | 2009-01-20 20:43:58 +0000 | [diff] [blame] | 993 | /* proto < 2: write the repr and newline. This is quadratic-time (in |
| 994 | the number of digits), in both directions. We add a trailing 'L' |
| 995 | to the repr, for compatibility with Python 2.x. */ |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 996 | |
| 997 | repr = PyObject_Repr(obj); |
| 998 | if (repr == NULL) |
| 999 | goto error; |
| 1000 | |
Marc-André Lemburg | 4cc0f24 | 2008-08-07 18:54:33 +0000 | [diff] [blame] | 1001 | string = _PyUnicode_AsStringAndSize(repr, &size); |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 1002 | if (string == NULL) |
| 1003 | goto error; |
| 1004 | |
| 1005 | if (pickler_write(self, &long_op, 1) < 0 || |
| 1006 | pickler_write(self, string, size) < 0 || |
Mark Dickinson | 8dd0514 | 2009-01-20 20:43:58 +0000 | [diff] [blame] | 1007 | pickler_write(self, "L\n", 2) < 0) |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 1008 | goto error; |
| 1009 | } |
| 1010 | |
| 1011 | if (0) { |
| 1012 | error: |
| 1013 | status = -1; |
| 1014 | } |
| 1015 | Py_XDECREF(repr); |
| 1016 | |
| 1017 | return status; |
| 1018 | } |
| 1019 | |
| 1020 | static int |
| 1021 | save_float(PicklerObject *self, PyObject *obj) |
| 1022 | { |
| 1023 | double x = PyFloat_AS_DOUBLE((PyFloatObject *)obj); |
| 1024 | |
| 1025 | if (self->bin) { |
| 1026 | char pdata[9]; |
| 1027 | pdata[0] = BINFLOAT; |
| 1028 | if (_PyFloat_Pack8(x, (unsigned char *)&pdata[1], 0) < 0) |
| 1029 | return -1; |
| 1030 | if (pickler_write(self, pdata, 9) < 0) |
| 1031 | return -1; |
Eric Smith | 0923d1d | 2009-04-16 20:16:10 +0000 | [diff] [blame] | 1032 | } |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 1033 | else { |
Eric Smith | 0923d1d | 2009-04-16 20:16:10 +0000 | [diff] [blame] | 1034 | int result = -1; |
| 1035 | char *buf = NULL; |
| 1036 | char op = FLOAT; |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 1037 | |
Eric Smith | 0923d1d | 2009-04-16 20:16:10 +0000 | [diff] [blame] | 1038 | if (pickler_write(self, &op, 1) < 0) |
| 1039 | goto done; |
| 1040 | |
Mark Dickinson | 3e09f43 | 2009-04-17 08:41:23 +0000 | [diff] [blame] | 1041 | buf = PyOS_double_to_string(x, 'g', 17, 0, NULL); |
Eric Smith | 0923d1d | 2009-04-16 20:16:10 +0000 | [diff] [blame] | 1042 | if (!buf) { |
| 1043 | PyErr_NoMemory(); |
| 1044 | goto done; |
| 1045 | } |
| 1046 | |
| 1047 | if (pickler_write(self, buf, strlen(buf)) < 0) |
| 1048 | goto done; |
| 1049 | |
| 1050 | if (pickler_write(self, "\n", 1) < 0) |
| 1051 | goto done; |
| 1052 | |
| 1053 | result = 0; |
| 1054 | done: |
| 1055 | PyMem_Free(buf); |
| 1056 | return result; |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 1057 | } |
| 1058 | |
| 1059 | return 0; |
| 1060 | } |
| 1061 | |
| 1062 | static int |
| 1063 | save_bytes(PicklerObject *self, PyObject *obj) |
| 1064 | { |
| 1065 | if (self->proto < 3) { |
| 1066 | /* Older pickle protocols do not have an opcode for pickling bytes |
| 1067 | objects. Therefore, we need to fake the copy protocol (i.e., |
| 1068 | the __reduce__ method) to permit bytes object unpickling. */ |
| 1069 | PyObject *reduce_value = NULL; |
| 1070 | PyObject *bytelist = NULL; |
| 1071 | int status; |
| 1072 | |
| 1073 | bytelist = PySequence_List(obj); |
| 1074 | if (bytelist == NULL) |
| 1075 | return -1; |
| 1076 | |
| 1077 | reduce_value = Py_BuildValue("(O(O))", (PyObject *)&PyBytes_Type, |
| 1078 | bytelist); |
| 1079 | if (reduce_value == NULL) { |
| 1080 | Py_DECREF(bytelist); |
| 1081 | return -1; |
| 1082 | } |
| 1083 | |
| 1084 | /* save_reduce() will memoize the object automatically. */ |
| 1085 | status = save_reduce(self, reduce_value, obj); |
| 1086 | Py_DECREF(reduce_value); |
| 1087 | Py_DECREF(bytelist); |
| 1088 | return status; |
| 1089 | } |
| 1090 | else { |
| 1091 | Py_ssize_t size; |
| 1092 | char header[5]; |
| 1093 | int len; |
| 1094 | |
| 1095 | size = PyBytes_Size(obj); |
| 1096 | if (size < 0) |
| 1097 | return -1; |
| 1098 | |
| 1099 | if (size < 256) { |
| 1100 | header[0] = SHORT_BINBYTES; |
| 1101 | header[1] = (unsigned char)size; |
| 1102 | len = 2; |
| 1103 | } |
| 1104 | else if (size <= 0xffffffffL) { |
| 1105 | header[0] = BINBYTES; |
| 1106 | header[1] = (unsigned char)(size & 0xff); |
| 1107 | header[2] = (unsigned char)((size >> 8) & 0xff); |
| 1108 | header[3] = (unsigned char)((size >> 16) & 0xff); |
| 1109 | header[4] = (unsigned char)((size >> 24) & 0xff); |
| 1110 | len = 5; |
| 1111 | } |
| 1112 | else { |
| 1113 | return -1; /* string too large */ |
| 1114 | } |
| 1115 | |
| 1116 | if (pickler_write(self, header, len) < 0) |
| 1117 | return -1; |
| 1118 | |
| 1119 | if (pickler_write(self, PyBytes_AS_STRING(obj), size) < 0) |
| 1120 | return -1; |
| 1121 | |
| 1122 | if (memo_put(self, obj) < 0) |
| 1123 | return -1; |
| 1124 | |
| 1125 | return 0; |
| 1126 | } |
| 1127 | } |
| 1128 | |
| 1129 | /* A copy of PyUnicode_EncodeRawUnicodeEscape() that also translates |
| 1130 | backslash and newline characters to \uXXXX escapes. */ |
| 1131 | static PyObject * |
| 1132 | raw_unicode_escape(const Py_UNICODE *s, Py_ssize_t size) |
| 1133 | { |
| 1134 | PyObject *repr, *result; |
| 1135 | char *p; |
| 1136 | char *q; |
| 1137 | |
| 1138 | static const char *hexdigits = "0123456789abcdef"; |
| 1139 | |
| 1140 | #ifdef Py_UNICODE_WIDE |
Alexandre Vassalotti | 554d878 | 2008-12-27 07:32:41 +0000 | [diff] [blame] | 1141 | const Py_ssize_t expandsize = 10; |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 1142 | #else |
Alexandre Vassalotti | 554d878 | 2008-12-27 07:32:41 +0000 | [diff] [blame] | 1143 | const Py_ssize_t expandsize = 6; |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 1144 | #endif |
Alexandre Vassalotti | 554d878 | 2008-12-27 07:32:41 +0000 | [diff] [blame] | 1145 | |
| 1146 | if (size > PY_SSIZE_T_MAX / expandsize) |
| 1147 | return PyErr_NoMemory(); |
| 1148 | |
| 1149 | repr = PyByteArray_FromStringAndSize(NULL, expandsize * size); |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 1150 | if (repr == NULL) |
| 1151 | return NULL; |
| 1152 | if (size == 0) |
| 1153 | goto done; |
| 1154 | |
Alexandre Vassalotti | 554d878 | 2008-12-27 07:32:41 +0000 | [diff] [blame] | 1155 | p = q = PyByteArray_AS_STRING(repr); |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 1156 | while (size-- > 0) { |
| 1157 | Py_UNICODE ch = *s++; |
| 1158 | #ifdef Py_UNICODE_WIDE |
| 1159 | /* Map 32-bit characters to '\Uxxxxxxxx' */ |
| 1160 | if (ch >= 0x10000) { |
| 1161 | *p++ = '\\'; |
| 1162 | *p++ = 'U'; |
| 1163 | *p++ = hexdigits[(ch >> 28) & 0xf]; |
| 1164 | *p++ = hexdigits[(ch >> 24) & 0xf]; |
| 1165 | *p++ = hexdigits[(ch >> 20) & 0xf]; |
| 1166 | *p++ = hexdigits[(ch >> 16) & 0xf]; |
| 1167 | *p++ = hexdigits[(ch >> 12) & 0xf]; |
| 1168 | *p++ = hexdigits[(ch >> 8) & 0xf]; |
| 1169 | *p++ = hexdigits[(ch >> 4) & 0xf]; |
| 1170 | *p++ = hexdigits[ch & 15]; |
| 1171 | } |
| 1172 | else |
Alexandre Vassalotti | 554d878 | 2008-12-27 07:32:41 +0000 | [diff] [blame] | 1173 | #else |
| 1174 | /* Map UTF-16 surrogate pairs to '\U00xxxxxx' */ |
| 1175 | if (ch >= 0xD800 && ch < 0xDC00) { |
| 1176 | Py_UNICODE ch2; |
| 1177 | Py_UCS4 ucs; |
| 1178 | |
| 1179 | ch2 = *s++; |
| 1180 | size--; |
| 1181 | if (ch2 >= 0xDC00 && ch2 <= 0xDFFF) { |
| 1182 | ucs = (((ch & 0x03FF) << 10) | (ch2 & 0x03FF)) + 0x00010000; |
| 1183 | *p++ = '\\'; |
| 1184 | *p++ = 'U'; |
| 1185 | *p++ = hexdigits[(ucs >> 28) & 0xf]; |
| 1186 | *p++ = hexdigits[(ucs >> 24) & 0xf]; |
| 1187 | *p++ = hexdigits[(ucs >> 20) & 0xf]; |
| 1188 | *p++ = hexdigits[(ucs >> 16) & 0xf]; |
| 1189 | *p++ = hexdigits[(ucs >> 12) & 0xf]; |
| 1190 | *p++ = hexdigits[(ucs >> 8) & 0xf]; |
| 1191 | *p++ = hexdigits[(ucs >> 4) & 0xf]; |
| 1192 | *p++ = hexdigits[ucs & 0xf]; |
| 1193 | continue; |
| 1194 | } |
| 1195 | /* Fall through: isolated surrogates are copied as-is */ |
| 1196 | s--; |
| 1197 | size++; |
| 1198 | } |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 1199 | #endif |
| 1200 | /* Map 16-bit characters to '\uxxxx' */ |
| 1201 | if (ch >= 256 || ch == '\\' || ch == '\n') { |
| 1202 | *p++ = '\\'; |
| 1203 | *p++ = 'u'; |
| 1204 | *p++ = hexdigits[(ch >> 12) & 0xf]; |
| 1205 | *p++ = hexdigits[(ch >> 8) & 0xf]; |
| 1206 | *p++ = hexdigits[(ch >> 4) & 0xf]; |
| 1207 | *p++ = hexdigits[ch & 15]; |
| 1208 | } |
Alexandre Vassalotti | 554d878 | 2008-12-27 07:32:41 +0000 | [diff] [blame] | 1209 | /* Copy everything else as-is */ |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 1210 | else |
| 1211 | *p++ = (char) ch; |
| 1212 | } |
| 1213 | size = p - q; |
| 1214 | |
| 1215 | done: |
Alexandre Vassalotti | 554d878 | 2008-12-27 07:32:41 +0000 | [diff] [blame] | 1216 | result = PyBytes_FromStringAndSize(PyByteArray_AS_STRING(repr), size); |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 1217 | Py_DECREF(repr); |
| 1218 | return result; |
| 1219 | } |
| 1220 | |
| 1221 | static int |
| 1222 | save_unicode(PicklerObject *self, PyObject *obj) |
| 1223 | { |
| 1224 | Py_ssize_t size; |
| 1225 | PyObject *encoded = NULL; |
| 1226 | |
| 1227 | if (self->bin) { |
| 1228 | char pdata[5]; |
| 1229 | |
| 1230 | encoded = PyUnicode_AsUTF8String(obj); |
| 1231 | if (encoded == NULL) |
| 1232 | goto error; |
| 1233 | |
| 1234 | size = PyBytes_GET_SIZE(encoded); |
| 1235 | if (size < 0 || size > 0xffffffffL) |
| 1236 | goto error; /* string too large */ |
| 1237 | |
| 1238 | pdata[0] = BINUNICODE; |
| 1239 | pdata[1] = (unsigned char)(size & 0xff); |
| 1240 | pdata[2] = (unsigned char)((size >> 8) & 0xff); |
| 1241 | pdata[3] = (unsigned char)((size >> 16) & 0xff); |
| 1242 | pdata[4] = (unsigned char)((size >> 24) & 0xff); |
| 1243 | |
| 1244 | if (pickler_write(self, pdata, 5) < 0) |
| 1245 | goto error; |
| 1246 | |
| 1247 | if (pickler_write(self, PyBytes_AS_STRING(encoded), size) < 0) |
| 1248 | goto error; |
| 1249 | } |
| 1250 | else { |
| 1251 | const char unicode_op = UNICODE; |
| 1252 | |
| 1253 | encoded = raw_unicode_escape(PyUnicode_AS_UNICODE(obj), |
| 1254 | PyUnicode_GET_SIZE(obj)); |
| 1255 | if (encoded == NULL) |
| 1256 | goto error; |
| 1257 | |
| 1258 | if (pickler_write(self, &unicode_op, 1) < 0) |
| 1259 | goto error; |
| 1260 | |
| 1261 | size = PyBytes_GET_SIZE(encoded); |
| 1262 | if (pickler_write(self, PyBytes_AS_STRING(encoded), size) < 0) |
| 1263 | goto error; |
| 1264 | |
| 1265 | if (pickler_write(self, "\n", 1) < 0) |
| 1266 | goto error; |
| 1267 | } |
| 1268 | if (memo_put(self, obj) < 0) |
| 1269 | goto error; |
| 1270 | |
| 1271 | Py_DECREF(encoded); |
| 1272 | return 0; |
| 1273 | |
| 1274 | error: |
| 1275 | Py_XDECREF(encoded); |
| 1276 | return -1; |
| 1277 | } |
| 1278 | |
| 1279 | /* A helper for save_tuple. Push the len elements in tuple t on the stack. */ |
| 1280 | static int |
| 1281 | store_tuple_elements(PicklerObject *self, PyObject *t, int len) |
| 1282 | { |
| 1283 | int i; |
| 1284 | |
| 1285 | assert(PyTuple_Size(t) == len); |
| 1286 | |
| 1287 | for (i = 0; i < len; i++) { |
| 1288 | PyObject *element = PyTuple_GET_ITEM(t, i); |
| 1289 | |
| 1290 | if (element == NULL) |
| 1291 | return -1; |
| 1292 | if (save(self, element, 0) < 0) |
| 1293 | return -1; |
| 1294 | } |
| 1295 | |
| 1296 | return 0; |
| 1297 | } |
| 1298 | |
| 1299 | /* Tuples are ubiquitous in the pickle protocols, so many techniques are |
| 1300 | * used across protocols to minimize the space needed to pickle them. |
| 1301 | * Tuples are also the only builtin immutable type that can be recursive |
| 1302 | * (a tuple can be reached from itself), and that requires some subtle |
| 1303 | * magic so that it works in all cases. IOW, this is a long routine. |
| 1304 | */ |
| 1305 | static int |
| 1306 | save_tuple(PicklerObject *self, PyObject *obj) |
| 1307 | { |
| 1308 | PyObject *memo_key = NULL; |
| 1309 | int len, i; |
| 1310 | int status = 0; |
| 1311 | |
| 1312 | const char mark_op = MARK; |
| 1313 | const char tuple_op = TUPLE; |
| 1314 | const char pop_op = POP; |
| 1315 | const char pop_mark_op = POP_MARK; |
| 1316 | const char len2opcode[] = {EMPTY_TUPLE, TUPLE1, TUPLE2, TUPLE3}; |
| 1317 | |
| 1318 | if ((len = PyTuple_Size(obj)) < 0) |
| 1319 | return -1; |
| 1320 | |
| 1321 | if (len == 0) { |
| 1322 | char pdata[2]; |
| 1323 | |
| 1324 | if (self->proto) { |
| 1325 | pdata[0] = EMPTY_TUPLE; |
| 1326 | len = 1; |
| 1327 | } |
| 1328 | else { |
| 1329 | pdata[0] = MARK; |
| 1330 | pdata[1] = TUPLE; |
| 1331 | len = 2; |
| 1332 | } |
| 1333 | if (pickler_write(self, pdata, len) < 0) |
| 1334 | return -1; |
| 1335 | return 0; |
| 1336 | } |
| 1337 | |
| 1338 | /* id(tuple) isn't in the memo now. If it shows up there after |
| 1339 | * saving the tuple elements, the tuple must be recursive, in |
| 1340 | * which case we'll pop everything we put on the stack, and fetch |
| 1341 | * its value from the memo. |
| 1342 | */ |
| 1343 | memo_key = PyLong_FromVoidPtr(obj); |
| 1344 | if (memo_key == NULL) |
| 1345 | return -1; |
| 1346 | |
| 1347 | if (len <= 3 && self->proto >= 2) { |
| 1348 | /* Use TUPLE{1,2,3} opcodes. */ |
| 1349 | if (store_tuple_elements(self, obj, len) < 0) |
| 1350 | goto error; |
| 1351 | |
| 1352 | if (PyDict_GetItem(self->memo, memo_key)) { |
| 1353 | /* pop the len elements */ |
| 1354 | for (i = 0; i < len; i++) |
| 1355 | if (pickler_write(self, &pop_op, 1) < 0) |
| 1356 | goto error; |
| 1357 | /* fetch from memo */ |
| 1358 | if (memo_get(self, memo_key) < 0) |
| 1359 | goto error; |
| 1360 | |
| 1361 | Py_DECREF(memo_key); |
| 1362 | return 0; |
| 1363 | } |
| 1364 | else { /* Not recursive. */ |
| 1365 | if (pickler_write(self, len2opcode + len, 1) < 0) |
| 1366 | goto error; |
| 1367 | } |
| 1368 | goto memoize; |
| 1369 | } |
| 1370 | |
| 1371 | /* proto < 2 and len > 0, or proto >= 2 and len > 3. |
| 1372 | * Generate MARK e1 e2 ... TUPLE |
| 1373 | */ |
| 1374 | if (pickler_write(self, &mark_op, 1) < 0) |
| 1375 | goto error; |
| 1376 | |
| 1377 | if (store_tuple_elements(self, obj, len) < 0) |
| 1378 | goto error; |
| 1379 | |
| 1380 | if (PyDict_GetItem(self->memo, memo_key)) { |
| 1381 | /* pop the stack stuff we pushed */ |
| 1382 | if (self->bin) { |
| 1383 | if (pickler_write(self, &pop_mark_op, 1) < 0) |
| 1384 | goto error; |
| 1385 | } |
| 1386 | else { |
| 1387 | /* Note that we pop one more than len, to remove |
| 1388 | * the MARK too. |
| 1389 | */ |
| 1390 | for (i = 0; i <= len; i++) |
| 1391 | if (pickler_write(self, &pop_op, 1) < 0) |
| 1392 | goto error; |
| 1393 | } |
| 1394 | /* fetch from memo */ |
| 1395 | if (memo_get(self, memo_key) < 0) |
| 1396 | goto error; |
| 1397 | |
| 1398 | Py_DECREF(memo_key); |
| 1399 | return 0; |
| 1400 | } |
| 1401 | else { /* Not recursive. */ |
| 1402 | if (pickler_write(self, &tuple_op, 1) < 0) |
| 1403 | goto error; |
| 1404 | } |
| 1405 | |
| 1406 | memoize: |
| 1407 | if (memo_put(self, obj) < 0) |
| 1408 | goto error; |
| 1409 | |
| 1410 | if (0) { |
| 1411 | error: |
| 1412 | status = -1; |
| 1413 | } |
| 1414 | |
| 1415 | Py_DECREF(memo_key); |
| 1416 | return status; |
| 1417 | } |
| 1418 | |
| 1419 | /* iter is an iterator giving items, and we batch up chunks of |
| 1420 | * MARK item item ... item APPENDS |
| 1421 | * opcode sequences. Calling code should have arranged to first create an |
| 1422 | * empty list, or list-like object, for the APPENDS to operate on. |
| 1423 | * Returns 0 on success, <0 on error. |
| 1424 | */ |
| 1425 | static int |
| 1426 | batch_list(PicklerObject *self, PyObject *iter) |
| 1427 | { |
Amaury Forgeot d'Arc | fb1a5eb | 2008-09-11 21:03:37 +0000 | [diff] [blame] | 1428 | PyObject *obj = NULL; |
| 1429 | PyObject *firstitem = NULL; |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 1430 | int i, n; |
| 1431 | |
| 1432 | const char mark_op = MARK; |
| 1433 | const char append_op = APPEND; |
| 1434 | const char appends_op = APPENDS; |
| 1435 | |
| 1436 | assert(iter != NULL); |
| 1437 | |
| 1438 | /* XXX: I think this function could be made faster by avoiding the |
| 1439 | iterator interface and fetching objects directly from list using |
| 1440 | PyList_GET_ITEM. |
| 1441 | */ |
| 1442 | |
| 1443 | if (self->proto == 0) { |
| 1444 | /* APPENDS isn't available; do one at a time. */ |
| 1445 | for (;;) { |
| 1446 | obj = PyIter_Next(iter); |
| 1447 | if (obj == NULL) { |
| 1448 | if (PyErr_Occurred()) |
| 1449 | return -1; |
| 1450 | break; |
| 1451 | } |
| 1452 | i = save(self, obj, 0); |
| 1453 | Py_DECREF(obj); |
| 1454 | if (i < 0) |
| 1455 | return -1; |
| 1456 | if (pickler_write(self, &append_op, 1) < 0) |
| 1457 | return -1; |
| 1458 | } |
| 1459 | return 0; |
| 1460 | } |
| 1461 | |
| 1462 | /* proto > 0: write in batches of BATCHSIZE. */ |
| 1463 | do { |
Amaury Forgeot d'Arc | fb1a5eb | 2008-09-11 21:03:37 +0000 | [diff] [blame] | 1464 | /* Get first item */ |
| 1465 | firstitem = PyIter_Next(iter); |
| 1466 | if (firstitem == NULL) { |
| 1467 | if (PyErr_Occurred()) |
| 1468 | goto error; |
| 1469 | |
| 1470 | /* nothing more to add */ |
| 1471 | break; |
| 1472 | } |
| 1473 | |
| 1474 | /* Try to get a second item */ |
| 1475 | obj = PyIter_Next(iter); |
| 1476 | if (obj == NULL) { |
| 1477 | if (PyErr_Occurred()) |
| 1478 | goto error; |
| 1479 | |
| 1480 | /* Only one item to write */ |
| 1481 | if (save(self, firstitem, 0) < 0) |
| 1482 | goto error; |
| 1483 | if (pickler_write(self, &append_op, 1) < 0) |
| 1484 | goto error; |
| 1485 | Py_CLEAR(firstitem); |
| 1486 | break; |
| 1487 | } |
| 1488 | |
| 1489 | /* More than one item to write */ |
| 1490 | |
| 1491 | /* Pump out MARK, items, APPENDS. */ |
| 1492 | if (pickler_write(self, &mark_op, 1) < 0) |
| 1493 | goto error; |
| 1494 | |
| 1495 | if (save(self, firstitem, 0) < 0) |
| 1496 | goto error; |
| 1497 | Py_CLEAR(firstitem); |
| 1498 | n = 1; |
| 1499 | |
| 1500 | /* Fetch and save up to BATCHSIZE items */ |
| 1501 | while (obj) { |
| 1502 | if (save(self, obj, 0) < 0) |
| 1503 | goto error; |
| 1504 | Py_CLEAR(obj); |
| 1505 | n += 1; |
| 1506 | |
| 1507 | if (n == BATCHSIZE) |
| 1508 | break; |
| 1509 | |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 1510 | obj = PyIter_Next(iter); |
| 1511 | if (obj == NULL) { |
| 1512 | if (PyErr_Occurred()) |
| 1513 | goto error; |
| 1514 | break; |
| 1515 | } |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 1516 | } |
| 1517 | |
Amaury Forgeot d'Arc | fb1a5eb | 2008-09-11 21:03:37 +0000 | [diff] [blame] | 1518 | if (pickler_write(self, &appends_op, 1) < 0) |
| 1519 | goto error; |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 1520 | |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 1521 | } while (n == BATCHSIZE); |
| 1522 | return 0; |
| 1523 | |
| 1524 | error: |
Amaury Forgeot d'Arc | fb1a5eb | 2008-09-11 21:03:37 +0000 | [diff] [blame] | 1525 | Py_XDECREF(firstitem); |
| 1526 | Py_XDECREF(obj); |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 1527 | return -1; |
| 1528 | } |
| 1529 | |
| 1530 | static int |
| 1531 | save_list(PicklerObject *self, PyObject *obj) |
| 1532 | { |
| 1533 | PyObject *iter; |
| 1534 | char header[3]; |
| 1535 | int len; |
| 1536 | int status = 0; |
| 1537 | |
| 1538 | if (self->fast && !fast_save_enter(self, obj)) |
| 1539 | goto error; |
| 1540 | |
| 1541 | /* Create an empty list. */ |
| 1542 | if (self->bin) { |
| 1543 | header[0] = EMPTY_LIST; |
| 1544 | len = 1; |
| 1545 | } |
| 1546 | else { |
| 1547 | header[0] = MARK; |
| 1548 | header[1] = LIST; |
| 1549 | len = 2; |
| 1550 | } |
| 1551 | |
| 1552 | if (pickler_write(self, header, len) < 0) |
| 1553 | goto error; |
| 1554 | |
| 1555 | /* Get list length, and bow out early if empty. */ |
| 1556 | if ((len = PyList_Size(obj)) < 0) |
| 1557 | goto error; |
| 1558 | |
| 1559 | if (memo_put(self, obj) < 0) |
| 1560 | goto error; |
| 1561 | |
| 1562 | if (len != 0) { |
| 1563 | /* Save the list elements. */ |
| 1564 | iter = PyObject_GetIter(obj); |
| 1565 | if (iter == NULL) |
| 1566 | goto error; |
| 1567 | status = batch_list(self, iter); |
| 1568 | Py_DECREF(iter); |
| 1569 | } |
| 1570 | |
| 1571 | if (0) { |
| 1572 | error: |
| 1573 | status = -1; |
| 1574 | } |
| 1575 | |
| 1576 | if (self->fast && !fast_save_leave(self, obj)) |
| 1577 | status = -1; |
| 1578 | |
| 1579 | return status; |
| 1580 | } |
| 1581 | |
| 1582 | /* iter is an iterator giving (key, value) pairs, and we batch up chunks of |
| 1583 | * MARK key value ... key value SETITEMS |
| 1584 | * opcode sequences. Calling code should have arranged to first create an |
| 1585 | * empty dict, or dict-like object, for the SETITEMS to operate on. |
| 1586 | * Returns 0 on success, <0 on error. |
| 1587 | * |
| 1588 | * This is very much like batch_list(). The difference between saving |
| 1589 | * elements directly, and picking apart two-tuples, is so long-winded at |
| 1590 | * the C level, though, that attempts to combine these routines were too |
| 1591 | * ugly to bear. |
| 1592 | */ |
| 1593 | static int |
| 1594 | batch_dict(PicklerObject *self, PyObject *iter) |
| 1595 | { |
Amaury Forgeot d'Arc | fb1a5eb | 2008-09-11 21:03:37 +0000 | [diff] [blame] | 1596 | PyObject *obj = NULL; |
| 1597 | PyObject *firstitem = NULL; |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 1598 | int i, n; |
| 1599 | |
| 1600 | const char mark_op = MARK; |
| 1601 | const char setitem_op = SETITEM; |
| 1602 | const char setitems_op = SETITEMS; |
| 1603 | |
| 1604 | assert(iter != NULL); |
| 1605 | |
| 1606 | if (self->proto == 0) { |
| 1607 | /* SETITEMS isn't available; do one at a time. */ |
| 1608 | for (;;) { |
| 1609 | obj = PyIter_Next(iter); |
| 1610 | if (obj == NULL) { |
| 1611 | if (PyErr_Occurred()) |
| 1612 | return -1; |
| 1613 | break; |
| 1614 | } |
| 1615 | if (!PyTuple_Check(obj) || PyTuple_Size(obj) != 2) { |
| 1616 | PyErr_SetString(PyExc_TypeError, "dict items " |
| 1617 | "iterator must return 2-tuples"); |
| 1618 | return -1; |
| 1619 | } |
| 1620 | i = save(self, PyTuple_GET_ITEM(obj, 0), 0); |
| 1621 | if (i >= 0) |
| 1622 | i = save(self, PyTuple_GET_ITEM(obj, 1), 0); |
| 1623 | Py_DECREF(obj); |
| 1624 | if (i < 0) |
| 1625 | return -1; |
| 1626 | if (pickler_write(self, &setitem_op, 1) < 0) |
| 1627 | return -1; |
| 1628 | } |
| 1629 | return 0; |
| 1630 | } |
| 1631 | |
| 1632 | /* proto > 0: write in batches of BATCHSIZE. */ |
| 1633 | do { |
Amaury Forgeot d'Arc | fb1a5eb | 2008-09-11 21:03:37 +0000 | [diff] [blame] | 1634 | /* Get first item */ |
| 1635 | firstitem = PyIter_Next(iter); |
| 1636 | if (firstitem == NULL) { |
| 1637 | if (PyErr_Occurred()) |
| 1638 | goto error; |
| 1639 | |
| 1640 | /* nothing more to add */ |
| 1641 | break; |
| 1642 | } |
| 1643 | if (!PyTuple_Check(firstitem) || PyTuple_Size(firstitem) != 2) { |
| 1644 | PyErr_SetString(PyExc_TypeError, "dict items " |
| 1645 | "iterator must return 2-tuples"); |
| 1646 | goto error; |
| 1647 | } |
| 1648 | |
| 1649 | /* Try to get a second item */ |
| 1650 | obj = PyIter_Next(iter); |
| 1651 | if (obj == NULL) { |
| 1652 | if (PyErr_Occurred()) |
| 1653 | goto error; |
| 1654 | |
| 1655 | /* Only one item to write */ |
| 1656 | if (save(self, PyTuple_GET_ITEM(firstitem, 0), 0) < 0) |
| 1657 | goto error; |
| 1658 | if (save(self, PyTuple_GET_ITEM(firstitem, 1), 0) < 0) |
| 1659 | goto error; |
| 1660 | if (pickler_write(self, &setitem_op, 1) < 0) |
| 1661 | goto error; |
| 1662 | Py_CLEAR(firstitem); |
| 1663 | break; |
| 1664 | } |
| 1665 | |
| 1666 | /* More than one item to write */ |
| 1667 | |
| 1668 | /* Pump out MARK, items, SETITEMS. */ |
| 1669 | if (pickler_write(self, &mark_op, 1) < 0) |
| 1670 | goto error; |
| 1671 | |
| 1672 | if (save(self, PyTuple_GET_ITEM(firstitem, 0), 0) < 0) |
| 1673 | goto error; |
| 1674 | if (save(self, PyTuple_GET_ITEM(firstitem, 1), 0) < 0) |
| 1675 | goto error; |
| 1676 | Py_CLEAR(firstitem); |
| 1677 | n = 1; |
| 1678 | |
| 1679 | /* Fetch and save up to BATCHSIZE items */ |
| 1680 | while (obj) { |
| 1681 | if (!PyTuple_Check(obj) || PyTuple_Size(obj) != 2) { |
| 1682 | PyErr_SetString(PyExc_TypeError, "dict items " |
| 1683 | "iterator must return 2-tuples"); |
| 1684 | goto error; |
| 1685 | } |
| 1686 | if (save(self, PyTuple_GET_ITEM(obj, 0), 0) < 0 || |
| 1687 | save(self, PyTuple_GET_ITEM(obj, 1), 0) < 0) |
| 1688 | goto error; |
| 1689 | Py_CLEAR(obj); |
| 1690 | n += 1; |
| 1691 | |
| 1692 | if (n == BATCHSIZE) |
| 1693 | break; |
| 1694 | |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 1695 | obj = PyIter_Next(iter); |
| 1696 | if (obj == NULL) { |
| 1697 | if (PyErr_Occurred()) |
| 1698 | goto error; |
| 1699 | break; |
| 1700 | } |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 1701 | } |
| 1702 | |
Amaury Forgeot d'Arc | fb1a5eb | 2008-09-11 21:03:37 +0000 | [diff] [blame] | 1703 | if (pickler_write(self, &setitems_op, 1) < 0) |
| 1704 | goto error; |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 1705 | |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 1706 | } while (n == BATCHSIZE); |
| 1707 | return 0; |
| 1708 | |
| 1709 | error: |
Amaury Forgeot d'Arc | fb1a5eb | 2008-09-11 21:03:37 +0000 | [diff] [blame] | 1710 | Py_XDECREF(firstitem); |
| 1711 | Py_XDECREF(obj); |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 1712 | return -1; |
| 1713 | } |
| 1714 | |
Collin Winter | 5c9b02d | 2009-05-25 05:43:30 +0000 | [diff] [blame] | 1715 | /* This is a variant of batch_dict() above that specializes for dicts, with no |
| 1716 | * support for dict subclasses. Like batch_dict(), we batch up chunks of |
| 1717 | * MARK key value ... key value SETITEMS |
| 1718 | * opcode sequences. Calling code should have arranged to first create an |
| 1719 | * empty dict, or dict-like object, for the SETITEMS to operate on. |
| 1720 | * Returns 0 on success, -1 on error. |
| 1721 | * |
| 1722 | * Note that this currently doesn't work for protocol 0. |
| 1723 | */ |
| 1724 | static int |
| 1725 | batch_dict_exact(PicklerObject *self, PyObject *obj) |
| 1726 | { |
| 1727 | PyObject *key = NULL, *value = NULL; |
| 1728 | int i; |
| 1729 | Py_ssize_t dict_size, ppos = 0; |
| 1730 | |
Alexandre Vassalotti | f70b129 | 2009-05-25 18:00:52 +0000 | [diff] [blame] | 1731 | const char mark_op = MARK; |
| 1732 | const char setitem_op = SETITEM; |
| 1733 | const char setitems_op = SETITEMS; |
Collin Winter | 5c9b02d | 2009-05-25 05:43:30 +0000 | [diff] [blame] | 1734 | |
| 1735 | assert(obj != NULL); |
| 1736 | assert(self->proto > 0); |
| 1737 | |
| 1738 | dict_size = PyDict_Size(obj); |
| 1739 | |
| 1740 | /* Special-case len(d) == 1 to save space. */ |
| 1741 | if (dict_size == 1) { |
| 1742 | PyDict_Next(obj, &ppos, &key, &value); |
| 1743 | if (save(self, key, 0) < 0) |
| 1744 | return -1; |
| 1745 | if (save(self, value, 0) < 0) |
| 1746 | return -1; |
Alexandre Vassalotti | f70b129 | 2009-05-25 18:00:52 +0000 | [diff] [blame] | 1747 | if (pickler_write(self, &setitem_op, 1) < 0) |
Collin Winter | 5c9b02d | 2009-05-25 05:43:30 +0000 | [diff] [blame] | 1748 | return -1; |
| 1749 | return 0; |
| 1750 | } |
| 1751 | |
| 1752 | /* Write in batches of BATCHSIZE. */ |
| 1753 | do { |
| 1754 | i = 0; |
| 1755 | if (pickler_write(self, &mark_op, 1) < 0) |
| 1756 | return -1; |
| 1757 | while (PyDict_Next(obj, &ppos, &key, &value)) { |
| 1758 | if (save(self, key, 0) < 0) |
| 1759 | return -1; |
| 1760 | if (save(self, value, 0) < 0) |
| 1761 | return -1; |
| 1762 | if (++i == BATCHSIZE) |
| 1763 | break; |
| 1764 | } |
Alexandre Vassalotti | f70b129 | 2009-05-25 18:00:52 +0000 | [diff] [blame] | 1765 | if (pickler_write(self, &setitems_op, 1) < 0) |
Collin Winter | 5c9b02d | 2009-05-25 05:43:30 +0000 | [diff] [blame] | 1766 | return -1; |
| 1767 | if (PyDict_Size(obj) != dict_size) { |
| 1768 | PyErr_Format( |
| 1769 | PyExc_RuntimeError, |
| 1770 | "dictionary changed size during iteration"); |
| 1771 | return -1; |
| 1772 | } |
| 1773 | |
| 1774 | } while (i == BATCHSIZE); |
| 1775 | return 0; |
| 1776 | } |
| 1777 | |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 1778 | static int |
| 1779 | save_dict(PicklerObject *self, PyObject *obj) |
| 1780 | { |
| 1781 | PyObject *items, *iter; |
| 1782 | char header[3]; |
| 1783 | int len; |
| 1784 | int status = 0; |
| 1785 | |
| 1786 | if (self->fast && !fast_save_enter(self, obj)) |
| 1787 | goto error; |
| 1788 | |
| 1789 | /* Create an empty dict. */ |
| 1790 | if (self->bin) { |
| 1791 | header[0] = EMPTY_DICT; |
| 1792 | len = 1; |
| 1793 | } |
| 1794 | else { |
| 1795 | header[0] = MARK; |
| 1796 | header[1] = DICT; |
| 1797 | len = 2; |
| 1798 | } |
| 1799 | |
| 1800 | if (pickler_write(self, header, len) < 0) |
| 1801 | goto error; |
| 1802 | |
| 1803 | /* Get dict size, and bow out early if empty. */ |
| 1804 | if ((len = PyDict_Size(obj)) < 0) |
| 1805 | goto error; |
| 1806 | |
| 1807 | if (memo_put(self, obj) < 0) |
| 1808 | goto error; |
| 1809 | |
| 1810 | if (len != 0) { |
| 1811 | /* Save the dict items. */ |
Collin Winter | 5c9b02d | 2009-05-25 05:43:30 +0000 | [diff] [blame] | 1812 | if (PyDict_CheckExact(obj) && self->proto > 0) { |
| 1813 | /* We can take certain shortcuts if we know this is a dict and |
| 1814 | not a dict subclass. */ |
| 1815 | if (Py_EnterRecursiveCall(" while pickling an object") == 0) { |
| 1816 | status = batch_dict_exact(self, obj); |
| 1817 | Py_LeaveRecursiveCall(); |
| 1818 | } |
| 1819 | } else { |
| 1820 | items = PyObject_CallMethod(obj, "items", "()"); |
| 1821 | if (items == NULL) |
| 1822 | goto error; |
| 1823 | iter = PyObject_GetIter(items); |
| 1824 | Py_DECREF(items); |
| 1825 | if (iter == NULL) |
| 1826 | goto error; |
| 1827 | status = batch_dict(self, iter); |
| 1828 | Py_DECREF(iter); |
| 1829 | } |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 1830 | } |
| 1831 | |
| 1832 | if (0) { |
| 1833 | error: |
| 1834 | status = -1; |
| 1835 | } |
| 1836 | |
| 1837 | if (self->fast && !fast_save_leave(self, obj)) |
| 1838 | status = -1; |
| 1839 | |
| 1840 | return status; |
| 1841 | } |
| 1842 | |
| 1843 | static int |
| 1844 | save_global(PicklerObject *self, PyObject *obj, PyObject *name) |
| 1845 | { |
| 1846 | static PyObject *name_str = NULL; |
| 1847 | PyObject *global_name = NULL; |
| 1848 | PyObject *module_name = NULL; |
| 1849 | PyObject *module = NULL; |
| 1850 | PyObject *cls; |
| 1851 | int status = 0; |
| 1852 | |
| 1853 | const char global_op = GLOBAL; |
| 1854 | |
| 1855 | if (name_str == NULL) { |
| 1856 | name_str = PyUnicode_InternFromString("__name__"); |
| 1857 | if (name_str == NULL) |
| 1858 | goto error; |
| 1859 | } |
| 1860 | |
| 1861 | if (name) { |
| 1862 | global_name = name; |
| 1863 | Py_INCREF(global_name); |
| 1864 | } |
| 1865 | else { |
| 1866 | global_name = PyObject_GetAttr(obj, name_str); |
| 1867 | if (global_name == NULL) |
| 1868 | goto error; |
| 1869 | } |
| 1870 | |
| 1871 | module_name = whichmodule(obj, global_name); |
| 1872 | if (module_name == NULL) |
| 1873 | goto error; |
| 1874 | |
| 1875 | /* XXX: Change to use the import C API directly with level=0 to disallow |
| 1876 | relative imports. |
| 1877 | |
| 1878 | XXX: PyImport_ImportModuleLevel could be used. However, this bypasses |
| 1879 | builtins.__import__. Therefore, _pickle, unlike pickle.py, will ignore |
| 1880 | custom import functions (IMHO, this would be a nice security |
| 1881 | feature). The import C API would need to be extended to support the |
| 1882 | extra parameters of __import__ to fix that. */ |
| 1883 | module = PyImport_Import(module_name); |
| 1884 | if (module == NULL) { |
| 1885 | PyErr_Format(PicklingError, |
| 1886 | "Can't pickle %R: import of module %R failed", |
| 1887 | obj, module_name); |
| 1888 | goto error; |
| 1889 | } |
| 1890 | cls = PyObject_GetAttr(module, global_name); |
| 1891 | if (cls == NULL) { |
| 1892 | PyErr_Format(PicklingError, |
| 1893 | "Can't pickle %R: attribute lookup %S.%S failed", |
| 1894 | obj, module_name, global_name); |
| 1895 | goto error; |
| 1896 | } |
| 1897 | if (cls != obj) { |
| 1898 | Py_DECREF(cls); |
| 1899 | PyErr_Format(PicklingError, |
| 1900 | "Can't pickle %R: it's not the same object as %S.%S", |
| 1901 | obj, module_name, global_name); |
| 1902 | goto error; |
| 1903 | } |
| 1904 | Py_DECREF(cls); |
| 1905 | |
| 1906 | if (self->proto >= 2) { |
| 1907 | /* See whether this is in the extension registry, and if |
| 1908 | * so generate an EXT opcode. |
| 1909 | */ |
| 1910 | PyObject *code_obj; /* extension code as Python object */ |
| 1911 | long code; /* extension code as C value */ |
| 1912 | char pdata[5]; |
| 1913 | int n; |
| 1914 | |
| 1915 | PyTuple_SET_ITEM(two_tuple, 0, module_name); |
| 1916 | PyTuple_SET_ITEM(two_tuple, 1, global_name); |
| 1917 | code_obj = PyDict_GetItem(extension_registry, two_tuple); |
| 1918 | /* The object is not registered in the extension registry. |
| 1919 | This is the most likely code path. */ |
| 1920 | if (code_obj == NULL) |
| 1921 | goto gen_global; |
| 1922 | |
| 1923 | /* XXX: pickle.py doesn't check neither the type, nor the range |
| 1924 | of the value returned by the extension_registry. It should for |
| 1925 | consistency. */ |
| 1926 | |
| 1927 | /* Verify code_obj has the right type and value. */ |
| 1928 | if (!PyLong_Check(code_obj)) { |
| 1929 | PyErr_Format(PicklingError, |
| 1930 | "Can't pickle %R: extension code %R isn't an integer", |
| 1931 | obj, code_obj); |
| 1932 | goto error; |
| 1933 | } |
| 1934 | code = PyLong_AS_LONG(code_obj); |
| 1935 | if (code <= 0 || code > 0x7fffffffL) { |
| 1936 | PyErr_Format(PicklingError, |
| 1937 | "Can't pickle %R: extension code %ld is out of range", |
| 1938 | obj, code); |
| 1939 | goto error; |
| 1940 | } |
| 1941 | |
| 1942 | /* Generate an EXT opcode. */ |
| 1943 | if (code <= 0xff) { |
| 1944 | pdata[0] = EXT1; |
| 1945 | pdata[1] = (unsigned char)code; |
| 1946 | n = 2; |
| 1947 | } |
| 1948 | else if (code <= 0xffff) { |
| 1949 | pdata[0] = EXT2; |
| 1950 | pdata[1] = (unsigned char)(code & 0xff); |
| 1951 | pdata[2] = (unsigned char)((code >> 8) & 0xff); |
| 1952 | n = 3; |
| 1953 | } |
| 1954 | else { |
| 1955 | pdata[0] = EXT4; |
| 1956 | pdata[1] = (unsigned char)(code & 0xff); |
| 1957 | pdata[2] = (unsigned char)((code >> 8) & 0xff); |
| 1958 | pdata[3] = (unsigned char)((code >> 16) & 0xff); |
| 1959 | pdata[4] = (unsigned char)((code >> 24) & 0xff); |
| 1960 | n = 5; |
| 1961 | } |
| 1962 | |
| 1963 | if (pickler_write(self, pdata, n) < 0) |
| 1964 | goto error; |
| 1965 | } |
| 1966 | else { |
| 1967 | /* Generate a normal global opcode if we are using a pickle |
| 1968 | protocol <= 2, or if the object is not registered in the |
| 1969 | extension registry. */ |
| 1970 | PyObject *encoded; |
| 1971 | PyObject *(*unicode_encoder)(PyObject *); |
| 1972 | |
| 1973 | gen_global: |
| 1974 | if (pickler_write(self, &global_op, 1) < 0) |
| 1975 | goto error; |
| 1976 | |
| 1977 | /* Since Python 3.0 now supports non-ASCII identifiers, we encode both |
| 1978 | the module name and the global name using UTF-8. We do so only when |
| 1979 | we are using the pickle protocol newer than version 3. This is to |
| 1980 | ensure compatibility with older Unpickler running on Python 2.x. */ |
| 1981 | if (self->proto >= 3) { |
| 1982 | unicode_encoder = PyUnicode_AsUTF8String; |
| 1983 | } |
| 1984 | else { |
| 1985 | unicode_encoder = PyUnicode_AsASCIIString; |
| 1986 | } |
| 1987 | |
Antoine Pitrou | d9dfaa9 | 2009-06-04 20:32:06 +0000 | [diff] [blame] | 1988 | /* For protocol < 3 and if the user didn't request against doing so, |
| 1989 | we convert module names to the old 2.x module names. */ |
| 1990 | if (self->fix_imports) { |
| 1991 | PyObject *key; |
| 1992 | PyObject *item; |
| 1993 | |
| 1994 | key = PyTuple_Pack(2, module_name, global_name); |
| 1995 | if (key == NULL) |
| 1996 | goto error; |
| 1997 | item = PyDict_GetItemWithError(name_mapping_3to2, key); |
| 1998 | Py_DECREF(key); |
| 1999 | if (item) { |
| 2000 | if (!PyTuple_Check(item) || PyTuple_GET_SIZE(item) != 2) { |
| 2001 | PyErr_Format(PyExc_RuntimeError, |
| 2002 | "_compat_pickle.REVERSE_NAME_MAPPING values " |
| 2003 | "should be 2-tuples, not %.200s", |
| 2004 | Py_TYPE(item)->tp_name); |
| 2005 | goto error; |
| 2006 | } |
| 2007 | Py_CLEAR(module_name); |
| 2008 | Py_CLEAR(global_name); |
| 2009 | module_name = PyTuple_GET_ITEM(item, 0); |
| 2010 | global_name = PyTuple_GET_ITEM(item, 1); |
| 2011 | if (!PyUnicode_Check(module_name) || |
| 2012 | !PyUnicode_Check(global_name)) { |
| 2013 | PyErr_Format(PyExc_RuntimeError, |
| 2014 | "_compat_pickle.REVERSE_NAME_MAPPING values " |
| 2015 | "should be pairs of str, not (%.200s, %.200s)", |
| 2016 | Py_TYPE(module_name)->tp_name, |
| 2017 | Py_TYPE(global_name)->tp_name); |
| 2018 | goto error; |
| 2019 | } |
| 2020 | Py_INCREF(module_name); |
| 2021 | Py_INCREF(global_name); |
| 2022 | } |
| 2023 | else if (PyErr_Occurred()) { |
| 2024 | goto error; |
| 2025 | } |
| 2026 | |
| 2027 | item = PyDict_GetItemWithError(import_mapping_3to2, module_name); |
| 2028 | if (item) { |
| 2029 | if (!PyUnicode_Check(item)) { |
| 2030 | PyErr_Format(PyExc_RuntimeError, |
| 2031 | "_compat_pickle.REVERSE_IMPORT_MAPPING values " |
| 2032 | "should be strings, not %.200s", |
| 2033 | Py_TYPE(item)->tp_name); |
| 2034 | goto error; |
| 2035 | } |
| 2036 | Py_CLEAR(module_name); |
| 2037 | module_name = item; |
| 2038 | Py_INCREF(module_name); |
| 2039 | } |
| 2040 | else if (PyErr_Occurred()) { |
| 2041 | goto error; |
| 2042 | } |
| 2043 | } |
| 2044 | |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 2045 | /* Save the name of the module. */ |
| 2046 | encoded = unicode_encoder(module_name); |
| 2047 | if (encoded == NULL) { |
| 2048 | if (PyErr_ExceptionMatches(PyExc_UnicodeEncodeError)) |
| 2049 | PyErr_Format(PicklingError, |
| 2050 | "can't pickle module identifier '%S' using " |
| 2051 | "pickle protocol %i", module_name, self->proto); |
| 2052 | goto error; |
| 2053 | } |
| 2054 | if (pickler_write(self, PyBytes_AS_STRING(encoded), |
| 2055 | PyBytes_GET_SIZE(encoded)) < 0) { |
| 2056 | Py_DECREF(encoded); |
| 2057 | goto error; |
| 2058 | } |
| 2059 | Py_DECREF(encoded); |
| 2060 | if(pickler_write(self, "\n", 1) < 0) |
| 2061 | goto error; |
| 2062 | |
| 2063 | /* Save the name of the module. */ |
| 2064 | encoded = unicode_encoder(global_name); |
| 2065 | if (encoded == NULL) { |
| 2066 | if (PyErr_ExceptionMatches(PyExc_UnicodeEncodeError)) |
| 2067 | PyErr_Format(PicklingError, |
| 2068 | "can't pickle global identifier '%S' using " |
| 2069 | "pickle protocol %i", global_name, self->proto); |
| 2070 | goto error; |
| 2071 | } |
| 2072 | if (pickler_write(self, PyBytes_AS_STRING(encoded), |
| 2073 | PyBytes_GET_SIZE(encoded)) < 0) { |
| 2074 | Py_DECREF(encoded); |
| 2075 | goto error; |
| 2076 | } |
| 2077 | Py_DECREF(encoded); |
| 2078 | if(pickler_write(self, "\n", 1) < 0) |
| 2079 | goto error; |
| 2080 | |
| 2081 | /* Memoize the object. */ |
| 2082 | if (memo_put(self, obj) < 0) |
| 2083 | goto error; |
| 2084 | } |
| 2085 | |
| 2086 | if (0) { |
| 2087 | error: |
| 2088 | status = -1; |
| 2089 | } |
| 2090 | Py_XDECREF(module_name); |
| 2091 | Py_XDECREF(global_name); |
| 2092 | Py_XDECREF(module); |
| 2093 | |
| 2094 | return status; |
| 2095 | } |
| 2096 | |
| 2097 | static int |
| 2098 | save_pers(PicklerObject *self, PyObject *obj, PyObject *func) |
| 2099 | { |
| 2100 | PyObject *pid = NULL; |
| 2101 | int status = 0; |
| 2102 | |
| 2103 | const char persid_op = PERSID; |
| 2104 | const char binpersid_op = BINPERSID; |
| 2105 | |
| 2106 | Py_INCREF(obj); |
| 2107 | pid = pickler_call(self, func, obj); |
| 2108 | if (pid == NULL) |
| 2109 | return -1; |
| 2110 | |
| 2111 | if (pid != Py_None) { |
| 2112 | if (self->bin) { |
| 2113 | if (save(self, pid, 1) < 0 || |
| 2114 | pickler_write(self, &binpersid_op, 1) < 0) |
| 2115 | goto error; |
| 2116 | } |
| 2117 | else { |
| 2118 | PyObject *pid_str = NULL; |
| 2119 | char *pid_ascii_bytes; |
| 2120 | Py_ssize_t size; |
| 2121 | |
| 2122 | pid_str = PyObject_Str(pid); |
| 2123 | if (pid_str == NULL) |
| 2124 | goto error; |
| 2125 | |
| 2126 | /* XXX: Should it check whether the persistent id only contains |
| 2127 | ASCII characters? And what if the pid contains embedded |
| 2128 | newlines? */ |
Marc-André Lemburg | 4cc0f24 | 2008-08-07 18:54:33 +0000 | [diff] [blame] | 2129 | pid_ascii_bytes = _PyUnicode_AsStringAndSize(pid_str, &size); |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 2130 | Py_DECREF(pid_str); |
| 2131 | if (pid_ascii_bytes == NULL) |
| 2132 | goto error; |
| 2133 | |
| 2134 | if (pickler_write(self, &persid_op, 1) < 0 || |
| 2135 | pickler_write(self, pid_ascii_bytes, size) < 0 || |
| 2136 | pickler_write(self, "\n", 1) < 0) |
| 2137 | goto error; |
| 2138 | } |
| 2139 | status = 1; |
| 2140 | } |
| 2141 | |
| 2142 | if (0) { |
| 2143 | error: |
| 2144 | status = -1; |
| 2145 | } |
| 2146 | Py_XDECREF(pid); |
| 2147 | |
| 2148 | return status; |
| 2149 | } |
| 2150 | |
| 2151 | /* We're saving obj, and args is the 2-thru-5 tuple returned by the |
| 2152 | * appropriate __reduce__ method for obj. |
| 2153 | */ |
| 2154 | static int |
| 2155 | save_reduce(PicklerObject *self, PyObject *args, PyObject *obj) |
| 2156 | { |
| 2157 | PyObject *callable; |
| 2158 | PyObject *argtup; |
| 2159 | PyObject *state = NULL; |
Amaury Forgeot d'Arc | 424b481 | 2008-10-30 22:25:31 +0000 | [diff] [blame] | 2160 | PyObject *listitems = Py_None; |
| 2161 | PyObject *dictitems = Py_None; |
Hirokazu Yamamoto | b46a633 | 2008-11-04 00:35:10 +0000 | [diff] [blame] | 2162 | Py_ssize_t size; |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 2163 | |
| 2164 | int use_newobj = self->proto >= 2; |
| 2165 | |
| 2166 | const char reduce_op = REDUCE; |
| 2167 | const char build_op = BUILD; |
| 2168 | const char newobj_op = NEWOBJ; |
| 2169 | |
Hirokazu Yamamoto | b46a633 | 2008-11-04 00:35:10 +0000 | [diff] [blame] | 2170 | size = PyTuple_Size(args); |
| 2171 | if (size < 2 || size > 5) { |
| 2172 | PyErr_SetString(PicklingError, "tuple returned by " |
| 2173 | "__reduce__ must contain 2 through 5 elements"); |
| 2174 | return -1; |
| 2175 | } |
| 2176 | |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 2177 | if (!PyArg_UnpackTuple(args, "save_reduce", 2, 5, |
| 2178 | &callable, &argtup, &state, &listitems, &dictitems)) |
| 2179 | return -1; |
| 2180 | |
| 2181 | if (!PyCallable_Check(callable)) { |
Amaury Forgeot d'Arc | 424b481 | 2008-10-30 22:25:31 +0000 | [diff] [blame] | 2182 | PyErr_SetString(PicklingError, "first item of the tuple " |
| 2183 | "returned by __reduce__ must be callable"); |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 2184 | return -1; |
| 2185 | } |
| 2186 | if (!PyTuple_Check(argtup)) { |
Amaury Forgeot d'Arc | 424b481 | 2008-10-30 22:25:31 +0000 | [diff] [blame] | 2187 | PyErr_SetString(PicklingError, "second item of the tuple " |
| 2188 | "returned by __reduce__ must be a tuple"); |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 2189 | return -1; |
| 2190 | } |
| 2191 | |
| 2192 | if (state == Py_None) |
| 2193 | state = NULL; |
Amaury Forgeot d'Arc | 424b481 | 2008-10-30 22:25:31 +0000 | [diff] [blame] | 2194 | |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 2195 | if (listitems == Py_None) |
| 2196 | listitems = NULL; |
Amaury Forgeot d'Arc | 424b481 | 2008-10-30 22:25:31 +0000 | [diff] [blame] | 2197 | else if (!PyIter_Check(listitems)) { |
| 2198 | PyErr_Format(PicklingError, "Fourth element of tuple" |
| 2199 | "returned by __reduce__ must be an iterator, not %s", |
| 2200 | Py_TYPE(listitems)->tp_name); |
| 2201 | return -1; |
| 2202 | } |
| 2203 | |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 2204 | if (dictitems == Py_None) |
| 2205 | dictitems = NULL; |
Amaury Forgeot d'Arc | 424b481 | 2008-10-30 22:25:31 +0000 | [diff] [blame] | 2206 | else if (!PyIter_Check(dictitems)) { |
| 2207 | PyErr_Format(PicklingError, "Fifth element of tuple" |
| 2208 | "returned by __reduce__ must be an iterator, not %s", |
| 2209 | Py_TYPE(dictitems)->tp_name); |
| 2210 | return -1; |
| 2211 | } |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 2212 | |
| 2213 | /* Protocol 2 special case: if callable's name is __newobj__, use |
| 2214 | NEWOBJ. */ |
| 2215 | if (use_newobj) { |
| 2216 | static PyObject *newobj_str = NULL; |
| 2217 | PyObject *name_str; |
| 2218 | |
| 2219 | if (newobj_str == NULL) { |
| 2220 | newobj_str = PyUnicode_InternFromString("__newobj__"); |
| 2221 | } |
| 2222 | |
| 2223 | name_str = PyObject_GetAttrString(callable, "__name__"); |
| 2224 | if (name_str == NULL) { |
| 2225 | if (PyErr_ExceptionMatches(PyExc_AttributeError)) |
| 2226 | PyErr_Clear(); |
| 2227 | else |
| 2228 | return -1; |
| 2229 | use_newobj = 0; |
| 2230 | } |
| 2231 | else { |
| 2232 | use_newobj = PyUnicode_Check(name_str) && |
| 2233 | PyUnicode_Compare(name_str, newobj_str) == 0; |
| 2234 | Py_DECREF(name_str); |
| 2235 | } |
| 2236 | } |
| 2237 | if (use_newobj) { |
| 2238 | PyObject *cls; |
| 2239 | PyObject *newargtup; |
| 2240 | PyObject *obj_class; |
| 2241 | int p; |
| 2242 | |
| 2243 | /* Sanity checks. */ |
| 2244 | if (Py_SIZE(argtup) < 1) { |
| 2245 | PyErr_SetString(PicklingError, "__newobj__ arglist is empty"); |
| 2246 | return -1; |
| 2247 | } |
| 2248 | |
| 2249 | cls = PyTuple_GET_ITEM(argtup, 0); |
| 2250 | if (!PyObject_HasAttrString(cls, "__new__")) { |
| 2251 | PyErr_SetString(PicklingError, "args[0] from " |
| 2252 | "__newobj__ args has no __new__"); |
| 2253 | return -1; |
| 2254 | } |
| 2255 | |
| 2256 | if (obj != NULL) { |
| 2257 | obj_class = PyObject_GetAttrString(obj, "__class__"); |
| 2258 | if (obj_class == NULL) { |
| 2259 | if (PyErr_ExceptionMatches(PyExc_AttributeError)) |
| 2260 | PyErr_Clear(); |
| 2261 | else |
| 2262 | return -1; |
| 2263 | } |
| 2264 | p = obj_class != cls; /* true iff a problem */ |
| 2265 | Py_DECREF(obj_class); |
| 2266 | if (p) { |
| 2267 | PyErr_SetString(PicklingError, "args[0] from " |
| 2268 | "__newobj__ args has the wrong class"); |
| 2269 | return -1; |
| 2270 | } |
| 2271 | } |
| 2272 | /* XXX: These calls save() are prone to infinite recursion. Imagine |
| 2273 | what happen if the value returned by the __reduce__() method of |
| 2274 | some extension type contains another object of the same type. Ouch! |
| 2275 | |
| 2276 | Here is a quick example, that I ran into, to illustrate what I |
| 2277 | mean: |
| 2278 | |
| 2279 | >>> import pickle, copyreg |
| 2280 | >>> copyreg.dispatch_table.pop(complex) |
| 2281 | >>> pickle.dumps(1+2j) |
| 2282 | Traceback (most recent call last): |
| 2283 | ... |
| 2284 | RuntimeError: maximum recursion depth exceeded |
| 2285 | |
| 2286 | Removing the complex class from copyreg.dispatch_table made the |
| 2287 | __reduce_ex__() method emit another complex object: |
| 2288 | |
| 2289 | >>> (1+1j).__reduce_ex__(2) |
| 2290 | (<function __newobj__ at 0xb7b71c3c>, |
| 2291 | (<class 'complex'>, (1+1j)), None, None, None) |
| 2292 | |
| 2293 | Thus when save() was called on newargstup (the 2nd item) recursion |
| 2294 | ensued. Of course, the bug was in the complex class which had a |
| 2295 | broken __getnewargs__() that emitted another complex object. But, |
| 2296 | the point, here, is it is quite easy to end up with a broken reduce |
| 2297 | function. */ |
| 2298 | |
| 2299 | /* Save the class and its __new__ arguments. */ |
| 2300 | if (save(self, cls, 0) < 0) |
| 2301 | return -1; |
| 2302 | |
| 2303 | newargtup = PyTuple_GetSlice(argtup, 1, Py_SIZE(argtup)); |
| 2304 | if (newargtup == NULL) |
| 2305 | return -1; |
| 2306 | |
| 2307 | p = save(self, newargtup, 0); |
| 2308 | Py_DECREF(newargtup); |
| 2309 | if (p < 0) |
| 2310 | return -1; |
| 2311 | |
| 2312 | /* Add NEWOBJ opcode. */ |
| 2313 | if (pickler_write(self, &newobj_op, 1) < 0) |
| 2314 | return -1; |
| 2315 | } |
| 2316 | else { /* Not using NEWOBJ. */ |
| 2317 | if (save(self, callable, 0) < 0 || |
| 2318 | save(self, argtup, 0) < 0 || |
| 2319 | pickler_write(self, &reduce_op, 1) < 0) |
| 2320 | return -1; |
| 2321 | } |
| 2322 | |
| 2323 | /* obj can be NULL when save_reduce() is used directly. A NULL obj means |
| 2324 | the caller do not want to memoize the object. Not particularly useful, |
| 2325 | but that is to mimic the behavior save_reduce() in pickle.py when |
| 2326 | obj is None. */ |
| 2327 | if (obj && memo_put(self, obj) < 0) |
| 2328 | return -1; |
| 2329 | |
| 2330 | if (listitems && batch_list(self, listitems) < 0) |
| 2331 | return -1; |
| 2332 | |
| 2333 | if (dictitems && batch_dict(self, dictitems) < 0) |
| 2334 | return -1; |
| 2335 | |
| 2336 | if (state) { |
| 2337 | if (save(self, state, 0) < 0 || |
| 2338 | pickler_write(self, &build_op, 1) < 0) |
| 2339 | return -1; |
| 2340 | } |
| 2341 | |
| 2342 | return 0; |
| 2343 | } |
| 2344 | |
| 2345 | static int |
| 2346 | save(PicklerObject *self, PyObject *obj, int pers_save) |
| 2347 | { |
| 2348 | PyTypeObject *type; |
| 2349 | PyObject *reduce_func = NULL; |
| 2350 | PyObject *reduce_value = NULL; |
| 2351 | PyObject *memo_key = NULL; |
| 2352 | int status = 0; |
| 2353 | |
Alexandre Vassalotti | dff1834 | 2008-07-13 18:48:30 +0000 | [diff] [blame] | 2354 | if (Py_EnterRecursiveCall(" while pickling an object") < 0) |
| 2355 | return -1; |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 2356 | |
| 2357 | /* The extra pers_save argument is necessary to avoid calling save_pers() |
| 2358 | on its returned object. */ |
| 2359 | if (!pers_save && self->pers_func) { |
| 2360 | /* save_pers() returns: |
| 2361 | -1 to signal an error; |
| 2362 | 0 if it did nothing successfully; |
| 2363 | 1 if a persistent id was saved. |
| 2364 | */ |
| 2365 | if ((status = save_pers(self, obj, self->pers_func)) != 0) |
| 2366 | goto done; |
| 2367 | } |
| 2368 | |
| 2369 | type = Py_TYPE(obj); |
| 2370 | |
| 2371 | /* XXX: The old cPickle had an optimization that used switch-case |
| 2372 | statement dispatching on the first letter of the type name. It was |
| 2373 | probably not a bad idea after all. If benchmarks shows that particular |
| 2374 | optimization had some real benefits, it would be nice to add it |
| 2375 | back. */ |
| 2376 | |
| 2377 | /* Atom types; these aren't memoized, so don't check the memo. */ |
| 2378 | |
| 2379 | if (obj == Py_None) { |
| 2380 | status = save_none(self, obj); |
| 2381 | goto done; |
| 2382 | } |
| 2383 | else if (obj == Py_False || obj == Py_True) { |
| 2384 | status = save_bool(self, obj); |
| 2385 | goto done; |
| 2386 | } |
| 2387 | else if (type == &PyLong_Type) { |
| 2388 | status = save_long(self, obj); |
| 2389 | goto done; |
| 2390 | } |
| 2391 | else if (type == &PyFloat_Type) { |
| 2392 | status = save_float(self, obj); |
| 2393 | goto done; |
| 2394 | } |
| 2395 | |
| 2396 | /* Check the memo to see if it has the object. If so, generate |
| 2397 | a GET (or BINGET) opcode, instead of pickling the object |
| 2398 | once again. */ |
| 2399 | memo_key = PyLong_FromVoidPtr(obj); |
| 2400 | if (memo_key == NULL) |
| 2401 | goto error; |
| 2402 | if (PyDict_GetItem(self->memo, memo_key)) { |
| 2403 | if (memo_get(self, memo_key) < 0) |
| 2404 | goto error; |
| 2405 | goto done; |
| 2406 | } |
| 2407 | |
| 2408 | if (type == &PyBytes_Type) { |
| 2409 | status = save_bytes(self, obj); |
| 2410 | goto done; |
| 2411 | } |
| 2412 | else if (type == &PyUnicode_Type) { |
| 2413 | status = save_unicode(self, obj); |
| 2414 | goto done; |
| 2415 | } |
| 2416 | else if (type == &PyDict_Type) { |
| 2417 | status = save_dict(self, obj); |
| 2418 | goto done; |
| 2419 | } |
| 2420 | else if (type == &PyList_Type) { |
| 2421 | status = save_list(self, obj); |
| 2422 | goto done; |
| 2423 | } |
| 2424 | else if (type == &PyTuple_Type) { |
| 2425 | status = save_tuple(self, obj); |
| 2426 | goto done; |
| 2427 | } |
| 2428 | else if (type == &PyType_Type) { |
| 2429 | status = save_global(self, obj, NULL); |
| 2430 | goto done; |
| 2431 | } |
| 2432 | else if (type == &PyFunction_Type) { |
| 2433 | status = save_global(self, obj, NULL); |
| 2434 | if (status < 0 && PyErr_ExceptionMatches(PickleError)) { |
| 2435 | /* fall back to reduce */ |
| 2436 | PyErr_Clear(); |
| 2437 | } |
| 2438 | else { |
| 2439 | goto done; |
| 2440 | } |
| 2441 | } |
| 2442 | else if (type == &PyCFunction_Type) { |
| 2443 | status = save_global(self, obj, NULL); |
| 2444 | goto done; |
| 2445 | } |
| 2446 | else if (PyType_IsSubtype(type, &PyType_Type)) { |
| 2447 | status = save_global(self, obj, NULL); |
| 2448 | goto done; |
| 2449 | } |
| 2450 | |
| 2451 | /* XXX: This part needs some unit tests. */ |
| 2452 | |
| 2453 | /* Get a reduction callable, and call it. This may come from |
| 2454 | * copyreg.dispatch_table, the object's __reduce_ex__ method, |
| 2455 | * or the object's __reduce__ method. |
| 2456 | */ |
| 2457 | reduce_func = PyDict_GetItem(dispatch_table, (PyObject *)type); |
| 2458 | if (reduce_func != NULL) { |
| 2459 | /* Here, the reference count of the reduce_func object returned by |
| 2460 | PyDict_GetItem needs to be increased to be consistent with the one |
| 2461 | returned by PyObject_GetAttr. This is allow us to blindly DECREF |
| 2462 | reduce_func at the end of the save() routine. |
| 2463 | */ |
| 2464 | Py_INCREF(reduce_func); |
| 2465 | Py_INCREF(obj); |
| 2466 | reduce_value = pickler_call(self, reduce_func, obj); |
| 2467 | } |
| 2468 | else { |
| 2469 | static PyObject *reduce_str = NULL; |
| 2470 | static PyObject *reduce_ex_str = NULL; |
| 2471 | |
| 2472 | /* Cache the name of the reduce methods. */ |
| 2473 | if (reduce_str == NULL) { |
| 2474 | reduce_str = PyUnicode_InternFromString("__reduce__"); |
| 2475 | if (reduce_str == NULL) |
| 2476 | goto error; |
| 2477 | reduce_ex_str = PyUnicode_InternFromString("__reduce_ex__"); |
| 2478 | if (reduce_ex_str == NULL) |
| 2479 | goto error; |
| 2480 | } |
| 2481 | |
| 2482 | /* XXX: If the __reduce__ method is defined, __reduce_ex__ is |
| 2483 | automatically defined as __reduce__. While this is convenient, this |
| 2484 | make it impossible to know which method was actually called. Of |
| 2485 | course, this is not a big deal. But still, it would be nice to let |
| 2486 | the user know which method was called when something go |
| 2487 | wrong. Incidentally, this means if __reduce_ex__ is not defined, we |
| 2488 | don't actually have to check for a __reduce__ method. */ |
| 2489 | |
| 2490 | /* Check for a __reduce_ex__ method. */ |
| 2491 | reduce_func = PyObject_GetAttr(obj, reduce_ex_str); |
| 2492 | if (reduce_func != NULL) { |
| 2493 | PyObject *proto; |
| 2494 | proto = PyLong_FromLong(self->proto); |
| 2495 | if (proto != NULL) { |
| 2496 | reduce_value = pickler_call(self, reduce_func, proto); |
| 2497 | } |
| 2498 | } |
| 2499 | else { |
| 2500 | if (PyErr_ExceptionMatches(PyExc_AttributeError)) |
| 2501 | PyErr_Clear(); |
| 2502 | else |
| 2503 | goto error; |
| 2504 | /* Check for a __reduce__ method. */ |
| 2505 | reduce_func = PyObject_GetAttr(obj, reduce_str); |
| 2506 | if (reduce_func != NULL) { |
| 2507 | reduce_value = PyObject_Call(reduce_func, empty_tuple, NULL); |
| 2508 | } |
| 2509 | else { |
| 2510 | PyErr_Format(PicklingError, "can't pickle '%.200s' object: %R", |
| 2511 | type->tp_name, obj); |
| 2512 | goto error; |
| 2513 | } |
| 2514 | } |
| 2515 | } |
| 2516 | |
| 2517 | if (reduce_value == NULL) |
| 2518 | goto error; |
| 2519 | |
| 2520 | if (PyUnicode_Check(reduce_value)) { |
| 2521 | status = save_global(self, obj, reduce_value); |
| 2522 | goto done; |
| 2523 | } |
| 2524 | |
| 2525 | if (!PyTuple_Check(reduce_value)) { |
| 2526 | PyErr_SetString(PicklingError, |
| 2527 | "__reduce__ must return a string or tuple"); |
| 2528 | goto error; |
| 2529 | } |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 2530 | |
| 2531 | status = save_reduce(self, reduce_value, obj); |
| 2532 | |
| 2533 | if (0) { |
| 2534 | error: |
| 2535 | status = -1; |
| 2536 | } |
| 2537 | done: |
Alexandre Vassalotti | dff1834 | 2008-07-13 18:48:30 +0000 | [diff] [blame] | 2538 | Py_LeaveRecursiveCall(); |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 2539 | Py_XDECREF(memo_key); |
| 2540 | Py_XDECREF(reduce_func); |
| 2541 | Py_XDECREF(reduce_value); |
| 2542 | |
| 2543 | return status; |
| 2544 | } |
| 2545 | |
| 2546 | static int |
| 2547 | dump(PicklerObject *self, PyObject *obj) |
| 2548 | { |
| 2549 | const char stop_op = STOP; |
| 2550 | |
| 2551 | if (self->proto >= 2) { |
| 2552 | char header[2]; |
| 2553 | |
| 2554 | header[0] = PROTO; |
| 2555 | assert(self->proto >= 0 && self->proto < 256); |
| 2556 | header[1] = (unsigned char)self->proto; |
| 2557 | if (pickler_write(self, header, 2) < 0) |
| 2558 | return -1; |
| 2559 | } |
| 2560 | |
| 2561 | if (save(self, obj, 0) < 0 || |
| 2562 | pickler_write(self, &stop_op, 1) < 0 || |
| 2563 | pickler_write(self, NULL, 0) < 0) |
| 2564 | return -1; |
| 2565 | |
| 2566 | return 0; |
| 2567 | } |
| 2568 | |
| 2569 | PyDoc_STRVAR(Pickler_clear_memo_doc, |
| 2570 | "clear_memo() -> None. Clears the pickler's \"memo\"." |
| 2571 | "\n" |
| 2572 | "The memo is the data structure that remembers which objects the\n" |
| 2573 | "pickler has already seen, so that shared or recursive objects are\n" |
| 2574 | "pickled by reference and not by value. This method is useful when\n" |
| 2575 | "re-using picklers."); |
| 2576 | |
| 2577 | static PyObject * |
| 2578 | Pickler_clear_memo(PicklerObject *self) |
| 2579 | { |
| 2580 | if (self->memo) |
| 2581 | PyDict_Clear(self->memo); |
| 2582 | |
| 2583 | Py_RETURN_NONE; |
| 2584 | } |
| 2585 | |
| 2586 | PyDoc_STRVAR(Pickler_dump_doc, |
| 2587 | "dump(obj) -> None. Write a pickled representation of obj to the open file."); |
| 2588 | |
| 2589 | static PyObject * |
| 2590 | Pickler_dump(PicklerObject *self, PyObject *args) |
| 2591 | { |
| 2592 | PyObject *obj; |
| 2593 | |
Amaury Forgeot d'Arc | 87eee63 | 2008-10-17 20:15:53 +0000 | [diff] [blame] | 2594 | /* Check whether the Pickler was initialized correctly (issue3664). |
| 2595 | Developers often forget to call __init__() in their subclasses, which |
| 2596 | would trigger a segfault without this check. */ |
| 2597 | if (self->write == NULL) { |
| 2598 | PyErr_Format(PicklingError, |
| 2599 | "Pickler.__init__() was not called by %s.__init__()", |
| 2600 | Py_TYPE(self)->tp_name); |
| 2601 | return NULL; |
| 2602 | } |
| 2603 | |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 2604 | if (!PyArg_ParseTuple(args, "O:dump", &obj)) |
| 2605 | return NULL; |
| 2606 | |
| 2607 | if (dump(self, obj) < 0) |
| 2608 | return NULL; |
| 2609 | |
| 2610 | Py_RETURN_NONE; |
| 2611 | } |
| 2612 | |
| 2613 | static struct PyMethodDef Pickler_methods[] = { |
| 2614 | {"dump", (PyCFunction)Pickler_dump, METH_VARARGS, |
| 2615 | Pickler_dump_doc}, |
| 2616 | {"clear_memo", (PyCFunction)Pickler_clear_memo, METH_NOARGS, |
| 2617 | Pickler_clear_memo_doc}, |
| 2618 | {NULL, NULL} /* sentinel */ |
| 2619 | }; |
| 2620 | |
| 2621 | static void |
| 2622 | Pickler_dealloc(PicklerObject *self) |
| 2623 | { |
| 2624 | PyObject_GC_UnTrack(self); |
| 2625 | |
| 2626 | Py_XDECREF(self->write); |
| 2627 | Py_XDECREF(self->memo); |
| 2628 | Py_XDECREF(self->pers_func); |
| 2629 | Py_XDECREF(self->arg); |
| 2630 | Py_XDECREF(self->fast_memo); |
| 2631 | |
| 2632 | PyMem_Free(self->write_buf); |
| 2633 | |
| 2634 | Py_TYPE(self)->tp_free((PyObject *)self); |
| 2635 | } |
| 2636 | |
| 2637 | static int |
| 2638 | Pickler_traverse(PicklerObject *self, visitproc visit, void *arg) |
| 2639 | { |
| 2640 | Py_VISIT(self->write); |
| 2641 | Py_VISIT(self->memo); |
| 2642 | Py_VISIT(self->pers_func); |
| 2643 | Py_VISIT(self->arg); |
| 2644 | Py_VISIT(self->fast_memo); |
| 2645 | return 0; |
| 2646 | } |
| 2647 | |
| 2648 | static int |
| 2649 | Pickler_clear(PicklerObject *self) |
| 2650 | { |
| 2651 | Py_CLEAR(self->write); |
| 2652 | Py_CLEAR(self->memo); |
| 2653 | Py_CLEAR(self->pers_func); |
| 2654 | Py_CLEAR(self->arg); |
| 2655 | Py_CLEAR(self->fast_memo); |
| 2656 | |
| 2657 | PyMem_Free(self->write_buf); |
| 2658 | self->write_buf = NULL; |
| 2659 | |
| 2660 | return 0; |
| 2661 | } |
| 2662 | |
| 2663 | PyDoc_STRVAR(Pickler_doc, |
| 2664 | "Pickler(file, protocol=None)" |
| 2665 | "\n" |
| 2666 | "This takes a binary file for writing a pickle data stream.\n" |
| 2667 | "\n" |
| 2668 | "The optional protocol argument tells the pickler to use the\n" |
| 2669 | "given protocol; supported protocols are 0, 1, 2, 3. The default\n" |
| 2670 | "protocol is 3; a backward-incompatible protocol designed for\n" |
| 2671 | "Python 3.0.\n" |
| 2672 | "\n" |
| 2673 | "Specifying a negative protocol version selects the highest\n" |
| 2674 | "protocol version supported. The higher the protocol used, the\n" |
| 2675 | "more recent the version of Python needed to read the pickle\n" |
| 2676 | "produced.\n" |
| 2677 | "\n" |
| 2678 | "The file argument must have a write() method that accepts a single\n" |
| 2679 | "bytes argument. It can thus be a file object opened for binary\n" |
| 2680 | "writing, a io.BytesIO instance, or any other custom object that\n" |
Antoine Pitrou | d9dfaa9 | 2009-06-04 20:32:06 +0000 | [diff] [blame] | 2681 | "meets this interface.\n" |
| 2682 | "\n" |
| 2683 | "If fix_imports is True and protocol is less than 3, pickle will try to\n" |
| 2684 | "map the new Python 3.x names to the old module names used in Python\n" |
| 2685 | "2.x, so that the pickle data stream is readable with Python 2.x.\n"); |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 2686 | |
| 2687 | static int |
| 2688 | Pickler_init(PicklerObject *self, PyObject *args, PyObject *kwds) |
| 2689 | { |
Antoine Pitrou | d9dfaa9 | 2009-06-04 20:32:06 +0000 | [diff] [blame] | 2690 | static char *kwlist[] = {"file", "protocol", "fix_imports", 0}; |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 2691 | PyObject *file; |
| 2692 | PyObject *proto_obj = NULL; |
| 2693 | long proto = 0; |
Antoine Pitrou | d9dfaa9 | 2009-06-04 20:32:06 +0000 | [diff] [blame] | 2694 | int fix_imports = 1; |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 2695 | |
Antoine Pitrou | d9dfaa9 | 2009-06-04 20:32:06 +0000 | [diff] [blame] | 2696 | if (!PyArg_ParseTupleAndKeywords(args, kwds, "O|Oi:Pickler", |
| 2697 | kwlist, &file, &proto_obj, &fix_imports)) |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 2698 | return -1; |
| 2699 | |
| 2700 | /* In case of multiple __init__() calls, clear previous content. */ |
| 2701 | if (self->write != NULL) |
| 2702 | (void)Pickler_clear(self); |
| 2703 | |
| 2704 | if (proto_obj == NULL || proto_obj == Py_None) |
| 2705 | proto = DEFAULT_PROTOCOL; |
Antoine Pitrou | d9dfaa9 | 2009-06-04 20:32:06 +0000 | [diff] [blame] | 2706 | else { |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 2707 | proto = PyLong_AsLong(proto_obj); |
Antoine Pitrou | d9dfaa9 | 2009-06-04 20:32:06 +0000 | [diff] [blame] | 2708 | if (proto == -1 && PyErr_Occurred()) |
| 2709 | return -1; |
| 2710 | } |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 2711 | |
| 2712 | if (proto < 0) |
| 2713 | proto = HIGHEST_PROTOCOL; |
| 2714 | if (proto > HIGHEST_PROTOCOL) { |
| 2715 | PyErr_Format(PyExc_ValueError, "pickle protocol must be <= %d", |
| 2716 | HIGHEST_PROTOCOL); |
| 2717 | return -1; |
| 2718 | } |
| 2719 | |
Antoine Pitrou | d9dfaa9 | 2009-06-04 20:32:06 +0000 | [diff] [blame] | 2720 | self->proto = proto; |
| 2721 | self->bin = proto > 0; |
| 2722 | self->arg = NULL; |
| 2723 | self->fast = 0; |
| 2724 | self->fast_nesting = 0; |
| 2725 | self->fast_memo = NULL; |
| 2726 | self->fix_imports = fix_imports && proto < 3; |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 2727 | |
| 2728 | if (!PyObject_HasAttrString(file, "write")) { |
| 2729 | PyErr_SetString(PyExc_TypeError, |
| 2730 | "file must have a 'write' attribute"); |
| 2731 | return -1; |
| 2732 | } |
| 2733 | self->write = PyObject_GetAttrString(file, "write"); |
| 2734 | if (self->write == NULL) |
| 2735 | return -1; |
| 2736 | self->buf_size = 0; |
| 2737 | self->write_buf = (char *)PyMem_Malloc(WRITE_BUF_SIZE); |
| 2738 | if (self->write_buf == NULL) { |
| 2739 | PyErr_NoMemory(); |
| 2740 | return -1; |
| 2741 | } |
| 2742 | self->pers_func = NULL; |
| 2743 | if (PyObject_HasAttrString((PyObject *)self, "persistent_id")) { |
| 2744 | self->pers_func = PyObject_GetAttrString((PyObject *)self, |
| 2745 | "persistent_id"); |
| 2746 | if (self->pers_func == NULL) |
| 2747 | return -1; |
| 2748 | } |
| 2749 | self->memo = PyDict_New(); |
| 2750 | if (self->memo == NULL) |
| 2751 | return -1; |
| 2752 | |
| 2753 | return 0; |
| 2754 | } |
| 2755 | |
| 2756 | static PyObject * |
| 2757 | Pickler_get_memo(PicklerObject *self) |
| 2758 | { |
| 2759 | if (self->memo == NULL) |
| 2760 | PyErr_SetString(PyExc_AttributeError, "memo"); |
| 2761 | else |
| 2762 | Py_INCREF(self->memo); |
| 2763 | return self->memo; |
| 2764 | } |
| 2765 | |
| 2766 | static int |
| 2767 | Pickler_set_memo(PicklerObject *self, PyObject *value) |
| 2768 | { |
| 2769 | PyObject *tmp; |
| 2770 | |
| 2771 | if (value == NULL) { |
| 2772 | PyErr_SetString(PyExc_TypeError, |
| 2773 | "attribute deletion is not supported"); |
| 2774 | return -1; |
| 2775 | } |
| 2776 | if (!PyDict_Check(value)) { |
| 2777 | PyErr_SetString(PyExc_TypeError, "memo must be a dictionary"); |
| 2778 | return -1; |
| 2779 | } |
| 2780 | |
| 2781 | tmp = self->memo; |
| 2782 | Py_INCREF(value); |
| 2783 | self->memo = value; |
| 2784 | Py_XDECREF(tmp); |
| 2785 | |
| 2786 | return 0; |
| 2787 | } |
| 2788 | |
| 2789 | static PyObject * |
| 2790 | Pickler_get_persid(PicklerObject *self) |
| 2791 | { |
| 2792 | if (self->pers_func == NULL) |
| 2793 | PyErr_SetString(PyExc_AttributeError, "persistent_id"); |
| 2794 | else |
| 2795 | Py_INCREF(self->pers_func); |
| 2796 | return self->pers_func; |
| 2797 | } |
| 2798 | |
| 2799 | static int |
| 2800 | Pickler_set_persid(PicklerObject *self, PyObject *value) |
| 2801 | { |
| 2802 | PyObject *tmp; |
| 2803 | |
| 2804 | if (value == NULL) { |
| 2805 | PyErr_SetString(PyExc_TypeError, |
| 2806 | "attribute deletion is not supported"); |
| 2807 | return -1; |
| 2808 | } |
| 2809 | if (!PyCallable_Check(value)) { |
| 2810 | PyErr_SetString(PyExc_TypeError, |
| 2811 | "persistent_id must be a callable taking one argument"); |
| 2812 | return -1; |
| 2813 | } |
| 2814 | |
| 2815 | tmp = self->pers_func; |
| 2816 | Py_INCREF(value); |
| 2817 | self->pers_func = value; |
| 2818 | Py_XDECREF(tmp); /* self->pers_func can be NULL, so be careful. */ |
| 2819 | |
| 2820 | return 0; |
| 2821 | } |
| 2822 | |
| 2823 | static PyMemberDef Pickler_members[] = { |
| 2824 | {"bin", T_INT, offsetof(PicklerObject, bin)}, |
| 2825 | {"fast", T_INT, offsetof(PicklerObject, fast)}, |
| 2826 | {NULL} |
| 2827 | }; |
| 2828 | |
| 2829 | static PyGetSetDef Pickler_getsets[] = { |
| 2830 | {"memo", (getter)Pickler_get_memo, |
| 2831 | (setter)Pickler_set_memo}, |
| 2832 | {"persistent_id", (getter)Pickler_get_persid, |
| 2833 | (setter)Pickler_set_persid}, |
| 2834 | {NULL} |
| 2835 | }; |
| 2836 | |
| 2837 | static PyTypeObject Pickler_Type = { |
| 2838 | PyVarObject_HEAD_INIT(NULL, 0) |
| 2839 | "_pickle.Pickler" , /*tp_name*/ |
| 2840 | sizeof(PicklerObject), /*tp_basicsize*/ |
| 2841 | 0, /*tp_itemsize*/ |
| 2842 | (destructor)Pickler_dealloc, /*tp_dealloc*/ |
| 2843 | 0, /*tp_print*/ |
| 2844 | 0, /*tp_getattr*/ |
| 2845 | 0, /*tp_setattr*/ |
Mark Dickinson | e94c679 | 2009-02-02 20:36:42 +0000 | [diff] [blame] | 2846 | 0, /*tp_reserved*/ |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 2847 | 0, /*tp_repr*/ |
| 2848 | 0, /*tp_as_number*/ |
| 2849 | 0, /*tp_as_sequence*/ |
| 2850 | 0, /*tp_as_mapping*/ |
| 2851 | 0, /*tp_hash*/ |
| 2852 | 0, /*tp_call*/ |
| 2853 | 0, /*tp_str*/ |
| 2854 | 0, /*tp_getattro*/ |
| 2855 | 0, /*tp_setattro*/ |
| 2856 | 0, /*tp_as_buffer*/ |
| 2857 | Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE | Py_TPFLAGS_HAVE_GC, |
| 2858 | Pickler_doc, /*tp_doc*/ |
| 2859 | (traverseproc)Pickler_traverse, /*tp_traverse*/ |
| 2860 | (inquiry)Pickler_clear, /*tp_clear*/ |
| 2861 | 0, /*tp_richcompare*/ |
| 2862 | 0, /*tp_weaklistoffset*/ |
| 2863 | 0, /*tp_iter*/ |
| 2864 | 0, /*tp_iternext*/ |
| 2865 | Pickler_methods, /*tp_methods*/ |
| 2866 | Pickler_members, /*tp_members*/ |
| 2867 | Pickler_getsets, /*tp_getset*/ |
| 2868 | 0, /*tp_base*/ |
| 2869 | 0, /*tp_dict*/ |
| 2870 | 0, /*tp_descr_get*/ |
| 2871 | 0, /*tp_descr_set*/ |
| 2872 | 0, /*tp_dictoffset*/ |
| 2873 | (initproc)Pickler_init, /*tp_init*/ |
| 2874 | PyType_GenericAlloc, /*tp_alloc*/ |
| 2875 | PyType_GenericNew, /*tp_new*/ |
| 2876 | PyObject_GC_Del, /*tp_free*/ |
| 2877 | 0, /*tp_is_gc*/ |
| 2878 | }; |
| 2879 | |
| 2880 | /* Temporary helper for calling self.find_class(). |
| 2881 | |
| 2882 | XXX: It would be nice to able to avoid Python function call overhead, by |
| 2883 | using directly the C version of find_class(), when find_class() is not |
| 2884 | overridden by a subclass. Although, this could become rather hackish. A |
| 2885 | simpler optimization would be to call the C function when self is not a |
| 2886 | subclass instance. */ |
| 2887 | static PyObject * |
| 2888 | find_class(UnpicklerObject *self, PyObject *module_name, PyObject *global_name) |
| 2889 | { |
| 2890 | return PyObject_CallMethod((PyObject *)self, "find_class", "OO", |
| 2891 | module_name, global_name); |
| 2892 | } |
| 2893 | |
| 2894 | static int |
| 2895 | marker(UnpicklerObject *self) |
| 2896 | { |
| 2897 | if (self->num_marks < 1) { |
| 2898 | PyErr_SetString(UnpicklingError, "could not find MARK"); |
| 2899 | return -1; |
| 2900 | } |
| 2901 | |
| 2902 | return self->marks[--self->num_marks]; |
| 2903 | } |
| 2904 | |
| 2905 | static int |
| 2906 | load_none(UnpicklerObject *self) |
| 2907 | { |
| 2908 | PDATA_APPEND(self->stack, Py_None, -1); |
| 2909 | return 0; |
| 2910 | } |
| 2911 | |
| 2912 | static int |
| 2913 | bad_readline(void) |
| 2914 | { |
| 2915 | PyErr_SetString(UnpicklingError, "pickle data was truncated"); |
| 2916 | return -1; |
| 2917 | } |
| 2918 | |
| 2919 | static int |
| 2920 | load_int(UnpicklerObject *self) |
| 2921 | { |
| 2922 | PyObject *value; |
| 2923 | char *endptr, *s; |
| 2924 | Py_ssize_t len; |
| 2925 | long x; |
| 2926 | |
| 2927 | if ((len = unpickler_readline(self, &s)) < 0) |
| 2928 | return -1; |
| 2929 | if (len < 2) |
| 2930 | return bad_readline(); |
| 2931 | |
| 2932 | errno = 0; |
| 2933 | /* XXX: Should the base argument of strtol() be explicitly set to 10? */ |
| 2934 | x = strtol(s, &endptr, 0); |
| 2935 | |
| 2936 | if (errno || (*endptr != '\n') || (endptr[1] != '\0')) { |
| 2937 | /* Hm, maybe we've got something long. Let's try reading |
| 2938 | * it as a Python long object. */ |
| 2939 | errno = 0; |
| 2940 | /* XXX: Same thing about the base here. */ |
| 2941 | value = PyLong_FromString(s, NULL, 0); |
| 2942 | if (value == NULL) { |
| 2943 | PyErr_SetString(PyExc_ValueError, |
| 2944 | "could not convert string to int"); |
| 2945 | return -1; |
| 2946 | } |
| 2947 | } |
| 2948 | else { |
| 2949 | if (len == 3 && (x == 0 || x == 1)) { |
| 2950 | if ((value = PyBool_FromLong(x)) == NULL) |
| 2951 | return -1; |
| 2952 | } |
| 2953 | else { |
| 2954 | if ((value = PyLong_FromLong(x)) == NULL) |
| 2955 | return -1; |
| 2956 | } |
| 2957 | } |
| 2958 | |
| 2959 | PDATA_PUSH(self->stack, value, -1); |
| 2960 | return 0; |
| 2961 | } |
| 2962 | |
| 2963 | static int |
| 2964 | load_bool(UnpicklerObject *self, PyObject *boolean) |
| 2965 | { |
| 2966 | assert(boolean == Py_True || boolean == Py_False); |
| 2967 | PDATA_APPEND(self->stack, boolean, -1); |
| 2968 | return 0; |
| 2969 | } |
| 2970 | |
| 2971 | /* s contains x bytes of a little-endian integer. Return its value as a |
| 2972 | * C int. Obscure: when x is 1 or 2, this is an unsigned little-endian |
| 2973 | * int, but when x is 4 it's a signed one. This is an historical source |
| 2974 | * of x-platform bugs. |
| 2975 | */ |
| 2976 | static long |
| 2977 | calc_binint(char *bytes, int size) |
| 2978 | { |
| 2979 | unsigned char *s = (unsigned char *)bytes; |
| 2980 | int i = size; |
| 2981 | long x = 0; |
| 2982 | |
| 2983 | for (i = 0; i < size; i++) { |
| 2984 | x |= (long)s[i] << (i * 8); |
| 2985 | } |
| 2986 | |
| 2987 | /* Unlike BININT1 and BININT2, BININT (more accurately BININT4) |
| 2988 | * is signed, so on a box with longs bigger than 4 bytes we need |
| 2989 | * to extend a BININT's sign bit to the full width. |
| 2990 | */ |
| 2991 | if (SIZEOF_LONG > 4 && size == 4) { |
| 2992 | x |= -(x & (1L << 31)); |
| 2993 | } |
| 2994 | |
| 2995 | return x; |
| 2996 | } |
| 2997 | |
| 2998 | static int |
| 2999 | load_binintx(UnpicklerObject *self, char *s, int size) |
| 3000 | { |
| 3001 | PyObject *value; |
| 3002 | long x; |
| 3003 | |
| 3004 | x = calc_binint(s, size); |
| 3005 | |
| 3006 | if ((value = PyLong_FromLong(x)) == NULL) |
| 3007 | return -1; |
| 3008 | |
| 3009 | PDATA_PUSH(self->stack, value, -1); |
| 3010 | return 0; |
| 3011 | } |
| 3012 | |
| 3013 | static int |
| 3014 | load_binint(UnpicklerObject *self) |
| 3015 | { |
| 3016 | char *s; |
| 3017 | |
| 3018 | if (unpickler_read(self, &s, 4) < 0) |
| 3019 | return -1; |
| 3020 | |
| 3021 | return load_binintx(self, s, 4); |
| 3022 | } |
| 3023 | |
| 3024 | static int |
| 3025 | load_binint1(UnpicklerObject *self) |
| 3026 | { |
| 3027 | char *s; |
| 3028 | |
| 3029 | if (unpickler_read(self, &s, 1) < 0) |
| 3030 | return -1; |
| 3031 | |
| 3032 | return load_binintx(self, s, 1); |
| 3033 | } |
| 3034 | |
| 3035 | static int |
| 3036 | load_binint2(UnpicklerObject *self) |
| 3037 | { |
| 3038 | char *s; |
| 3039 | |
| 3040 | if (unpickler_read(self, &s, 2) < 0) |
| 3041 | return -1; |
| 3042 | |
| 3043 | return load_binintx(self, s, 2); |
| 3044 | } |
| 3045 | |
| 3046 | static int |
| 3047 | load_long(UnpicklerObject *self) |
| 3048 | { |
| 3049 | PyObject *value; |
Alexandre Vassalotti | 446f7ff | 2009-01-23 04:43:46 +0000 | [diff] [blame] | 3050 | char *s; |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 3051 | Py_ssize_t len; |
| 3052 | |
| 3053 | if ((len = unpickler_readline(self, &s)) < 0) |
| 3054 | return -1; |
| 3055 | if (len < 2) |
| 3056 | return bad_readline(); |
| 3057 | |
Mark Dickinson | 8dd0514 | 2009-01-20 20:43:58 +0000 | [diff] [blame] | 3058 | /* s[len-2] will usually be 'L' (and s[len-1] is '\n'); we need to remove |
| 3059 | the 'L' before calling PyLong_FromString. In order to maintain |
| 3060 | compatibility with Python 3.0.0, we don't actually *require* |
| 3061 | the 'L' to be present. */ |
| 3062 | if (s[len-2] == 'L') { |
Alexandre Vassalotti | 446f7ff | 2009-01-23 04:43:46 +0000 | [diff] [blame] | 3063 | s[len-2] = '\0'; |
Mark Dickinson | 8dd0514 | 2009-01-20 20:43:58 +0000 | [diff] [blame] | 3064 | } |
Alexandre Vassalotti | e4bccb7 | 2009-01-24 01:47:57 +0000 | [diff] [blame] | 3065 | /* XXX: Should the base argument explicitly set to 10? */ |
| 3066 | value = PyLong_FromString(s, NULL, 0); |
Mark Dickinson | 8dd0514 | 2009-01-20 20:43:58 +0000 | [diff] [blame] | 3067 | if (value == NULL) |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 3068 | return -1; |
| 3069 | |
| 3070 | PDATA_PUSH(self->stack, value, -1); |
| 3071 | return 0; |
| 3072 | } |
| 3073 | |
| 3074 | /* 'size' bytes contain the # of bytes of little-endian 256's-complement |
| 3075 | * data following. |
| 3076 | */ |
| 3077 | static int |
| 3078 | load_counted_long(UnpicklerObject *self, int size) |
| 3079 | { |
| 3080 | PyObject *value; |
| 3081 | char *nbytes; |
| 3082 | char *pdata; |
| 3083 | |
| 3084 | assert(size == 1 || size == 4); |
| 3085 | if (unpickler_read(self, &nbytes, size) < 0) |
| 3086 | return -1; |
| 3087 | |
| 3088 | size = calc_binint(nbytes, size); |
| 3089 | if (size < 0) { |
| 3090 | /* Corrupt or hostile pickle -- we never write one like this */ |
| 3091 | PyErr_SetString(UnpicklingError, |
| 3092 | "LONG pickle has negative byte count"); |
| 3093 | return -1; |
| 3094 | } |
| 3095 | |
| 3096 | if (size == 0) |
| 3097 | value = PyLong_FromLong(0L); |
| 3098 | else { |
| 3099 | /* Read the raw little-endian bytes and convert. */ |
| 3100 | if (unpickler_read(self, &pdata, size) < 0) |
| 3101 | return -1; |
| 3102 | value = _PyLong_FromByteArray((unsigned char *)pdata, (size_t)size, |
| 3103 | 1 /* little endian */ , 1 /* signed */ ); |
| 3104 | } |
| 3105 | if (value == NULL) |
| 3106 | return -1; |
| 3107 | PDATA_PUSH(self->stack, value, -1); |
| 3108 | return 0; |
| 3109 | } |
| 3110 | |
| 3111 | static int |
| 3112 | load_float(UnpicklerObject *self) |
| 3113 | { |
| 3114 | PyObject *value; |
| 3115 | char *endptr, *s; |
| 3116 | Py_ssize_t len; |
| 3117 | double d; |
| 3118 | |
| 3119 | if ((len = unpickler_readline(self, &s)) < 0) |
| 3120 | return -1; |
| 3121 | if (len < 2) |
| 3122 | return bad_readline(); |
| 3123 | |
| 3124 | errno = 0; |
Mark Dickinson | 725bfd8 | 2009-05-03 20:33:40 +0000 | [diff] [blame] | 3125 | d = PyOS_string_to_double(s, &endptr, PyExc_OverflowError); |
| 3126 | if (d == -1.0 && PyErr_Occurred()) |
| 3127 | return -1; |
| 3128 | if ((endptr[0] != '\n') || (endptr[1] != '\0')) { |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 3129 | PyErr_SetString(PyExc_ValueError, "could not convert string to float"); |
| 3130 | return -1; |
| 3131 | } |
Mark Dickinson | 725bfd8 | 2009-05-03 20:33:40 +0000 | [diff] [blame] | 3132 | value = PyFloat_FromDouble(d); |
| 3133 | if (value == NULL) |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 3134 | return -1; |
| 3135 | |
| 3136 | PDATA_PUSH(self->stack, value, -1); |
| 3137 | return 0; |
Mark Dickinson | 725bfd8 | 2009-05-03 20:33:40 +0000 | [diff] [blame] | 3138 | } |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 3139 | |
| 3140 | static int |
| 3141 | load_binfloat(UnpicklerObject *self) |
| 3142 | { |
| 3143 | PyObject *value; |
| 3144 | double x; |
| 3145 | char *s; |
| 3146 | |
| 3147 | if (unpickler_read(self, &s, 8) < 0) |
| 3148 | return -1; |
| 3149 | |
| 3150 | x = _PyFloat_Unpack8((unsigned char *)s, 0); |
| 3151 | if (x == -1.0 && PyErr_Occurred()) |
| 3152 | return -1; |
| 3153 | |
| 3154 | if ((value = PyFloat_FromDouble(x)) == NULL) |
| 3155 | return -1; |
| 3156 | |
| 3157 | PDATA_PUSH(self->stack, value, -1); |
| 3158 | return 0; |
| 3159 | } |
| 3160 | |
| 3161 | static int |
| 3162 | load_string(UnpicklerObject *self) |
| 3163 | { |
| 3164 | PyObject *bytes; |
| 3165 | PyObject *str = NULL; |
| 3166 | Py_ssize_t len; |
| 3167 | char *s, *p; |
| 3168 | |
| 3169 | if ((len = unpickler_readline(self, &s)) < 0) |
| 3170 | return -1; |
| 3171 | if (len < 3) |
| 3172 | return bad_readline(); |
| 3173 | if ((s = strdup(s)) == NULL) { |
| 3174 | PyErr_NoMemory(); |
| 3175 | return -1; |
| 3176 | } |
| 3177 | |
| 3178 | /* Strip outermost quotes */ |
| 3179 | while (s[len - 1] <= ' ') |
| 3180 | len--; |
| 3181 | if (s[0] == '"' && s[len - 1] == '"') { |
| 3182 | s[len - 1] = '\0'; |
| 3183 | p = s + 1; |
| 3184 | len -= 2; |
| 3185 | } |
| 3186 | else if (s[0] == '\'' && s[len - 1] == '\'') { |
| 3187 | s[len - 1] = '\0'; |
| 3188 | p = s + 1; |
| 3189 | len -= 2; |
| 3190 | } |
| 3191 | else { |
| 3192 | free(s); |
| 3193 | PyErr_SetString(PyExc_ValueError, "insecure string pickle"); |
| 3194 | return -1; |
| 3195 | } |
| 3196 | |
| 3197 | /* Use the PyBytes API to decode the string, since that is what is used |
| 3198 | to encode, and then coerce the result to Unicode. */ |
| 3199 | bytes = PyBytes_DecodeEscape(p, len, NULL, 0, NULL); |
| 3200 | free(s); |
| 3201 | if (bytes == NULL) |
| 3202 | return -1; |
| 3203 | str = PyUnicode_FromEncodedObject(bytes, self->encoding, self->errors); |
| 3204 | Py_DECREF(bytes); |
| 3205 | if (str == NULL) |
| 3206 | return -1; |
| 3207 | |
| 3208 | PDATA_PUSH(self->stack, str, -1); |
| 3209 | return 0; |
| 3210 | } |
| 3211 | |
| 3212 | static int |
| 3213 | load_binbytes(UnpicklerObject *self) |
| 3214 | { |
| 3215 | PyObject *bytes; |
| 3216 | long x; |
| 3217 | char *s; |
| 3218 | |
| 3219 | if (unpickler_read(self, &s, 4) < 0) |
| 3220 | return -1; |
| 3221 | |
| 3222 | x = calc_binint(s, 4); |
| 3223 | if (x < 0) { |
| 3224 | PyErr_SetString(UnpicklingError, |
| 3225 | "BINBYTES pickle has negative byte count"); |
| 3226 | return -1; |
| 3227 | } |
| 3228 | |
| 3229 | if (unpickler_read(self, &s, x) < 0) |
| 3230 | return -1; |
| 3231 | bytes = PyBytes_FromStringAndSize(s, x); |
| 3232 | if (bytes == NULL) |
| 3233 | return -1; |
| 3234 | |
| 3235 | PDATA_PUSH(self->stack, bytes, -1); |
| 3236 | return 0; |
| 3237 | } |
| 3238 | |
| 3239 | static int |
| 3240 | load_short_binbytes(UnpicklerObject *self) |
| 3241 | { |
| 3242 | PyObject *bytes; |
| 3243 | unsigned char x; |
| 3244 | char *s; |
| 3245 | |
| 3246 | if (unpickler_read(self, &s, 1) < 0) |
| 3247 | return -1; |
| 3248 | |
| 3249 | x = (unsigned char)s[0]; |
| 3250 | |
| 3251 | if (unpickler_read(self, &s, x) < 0) |
| 3252 | return -1; |
| 3253 | |
| 3254 | bytes = PyBytes_FromStringAndSize(s, x); |
| 3255 | if (bytes == NULL) |
| 3256 | return -1; |
| 3257 | |
| 3258 | PDATA_PUSH(self->stack, bytes, -1); |
| 3259 | return 0; |
| 3260 | } |
| 3261 | |
| 3262 | static int |
| 3263 | load_binstring(UnpicklerObject *self) |
| 3264 | { |
| 3265 | PyObject *str; |
| 3266 | long x; |
| 3267 | char *s; |
| 3268 | |
| 3269 | if (unpickler_read(self, &s, 4) < 0) |
| 3270 | return -1; |
| 3271 | |
| 3272 | x = calc_binint(s, 4); |
| 3273 | if (x < 0) { |
| 3274 | PyErr_SetString(UnpicklingError, |
| 3275 | "BINSTRING pickle has negative byte count"); |
| 3276 | return -1; |
| 3277 | } |
| 3278 | |
| 3279 | if (unpickler_read(self, &s, x) < 0) |
| 3280 | return -1; |
| 3281 | |
| 3282 | /* Convert Python 2.x strings to unicode. */ |
| 3283 | str = PyUnicode_Decode(s, x, self->encoding, self->errors); |
| 3284 | if (str == NULL) |
| 3285 | return -1; |
| 3286 | |
| 3287 | PDATA_PUSH(self->stack, str, -1); |
| 3288 | return 0; |
| 3289 | } |
| 3290 | |
| 3291 | static int |
| 3292 | load_short_binstring(UnpicklerObject *self) |
| 3293 | { |
| 3294 | PyObject *str; |
| 3295 | unsigned char x; |
| 3296 | char *s; |
| 3297 | |
| 3298 | if (unpickler_read(self, &s, 1) < 0) |
| 3299 | return -1; |
| 3300 | |
| 3301 | x = (unsigned char)s[0]; |
| 3302 | |
| 3303 | if (unpickler_read(self, &s, x) < 0) |
| 3304 | return -1; |
| 3305 | |
| 3306 | /* Convert Python 2.x strings to unicode. */ |
| 3307 | str = PyUnicode_Decode(s, x, self->encoding, self->errors); |
| 3308 | if (str == NULL) |
| 3309 | return -1; |
| 3310 | |
| 3311 | PDATA_PUSH(self->stack, str, -1); |
| 3312 | return 0; |
| 3313 | } |
| 3314 | |
| 3315 | static int |
| 3316 | load_unicode(UnpicklerObject *self) |
| 3317 | { |
| 3318 | PyObject *str; |
| 3319 | Py_ssize_t len; |
| 3320 | char *s; |
| 3321 | |
| 3322 | if ((len = unpickler_readline(self, &s)) < 0) |
| 3323 | return -1; |
| 3324 | if (len < 1) |
| 3325 | return bad_readline(); |
| 3326 | |
| 3327 | str = PyUnicode_DecodeRawUnicodeEscape(s, len - 1, NULL); |
| 3328 | if (str == NULL) |
| 3329 | return -1; |
| 3330 | |
| 3331 | PDATA_PUSH(self->stack, str, -1); |
| 3332 | return 0; |
| 3333 | } |
| 3334 | |
| 3335 | static int |
| 3336 | load_binunicode(UnpicklerObject *self) |
| 3337 | { |
| 3338 | PyObject *str; |
| 3339 | long size; |
| 3340 | char *s; |
| 3341 | |
| 3342 | if (unpickler_read(self, &s, 4) < 0) |
| 3343 | return -1; |
| 3344 | |
| 3345 | size = calc_binint(s, 4); |
| 3346 | if (size < 0) { |
| 3347 | PyErr_SetString(UnpicklingError, |
| 3348 | "BINUNICODE pickle has negative byte count"); |
| 3349 | return -1; |
| 3350 | } |
| 3351 | |
| 3352 | if (unpickler_read(self, &s, size) < 0) |
| 3353 | return -1; |
| 3354 | |
| 3355 | str = PyUnicode_DecodeUTF8(s, size, NULL); |
| 3356 | if (str == NULL) |
| 3357 | return -1; |
| 3358 | |
| 3359 | PDATA_PUSH(self->stack, str, -1); |
| 3360 | return 0; |
| 3361 | } |
| 3362 | |
| 3363 | static int |
| 3364 | load_tuple(UnpicklerObject *self) |
| 3365 | { |
| 3366 | PyObject *tuple; |
| 3367 | int i; |
| 3368 | |
| 3369 | if ((i = marker(self)) < 0) |
| 3370 | return -1; |
| 3371 | |
| 3372 | tuple = Pdata_poptuple(self->stack, i); |
| 3373 | if (tuple == NULL) |
| 3374 | return -1; |
| 3375 | PDATA_PUSH(self->stack, tuple, -1); |
| 3376 | return 0; |
| 3377 | } |
| 3378 | |
| 3379 | static int |
| 3380 | load_counted_tuple(UnpicklerObject *self, int len) |
| 3381 | { |
| 3382 | PyObject *tuple; |
| 3383 | |
| 3384 | tuple = PyTuple_New(len); |
| 3385 | if (tuple == NULL) |
| 3386 | return -1; |
| 3387 | |
| 3388 | while (--len >= 0) { |
| 3389 | PyObject *item; |
| 3390 | |
| 3391 | PDATA_POP(self->stack, item); |
| 3392 | if (item == NULL) |
| 3393 | return -1; |
| 3394 | PyTuple_SET_ITEM(tuple, len, item); |
| 3395 | } |
| 3396 | PDATA_PUSH(self->stack, tuple, -1); |
| 3397 | return 0; |
| 3398 | } |
| 3399 | |
| 3400 | static int |
| 3401 | load_empty_list(UnpicklerObject *self) |
| 3402 | { |
| 3403 | PyObject *list; |
| 3404 | |
| 3405 | if ((list = PyList_New(0)) == NULL) |
| 3406 | return -1; |
| 3407 | PDATA_PUSH(self->stack, list, -1); |
| 3408 | return 0; |
| 3409 | } |
| 3410 | |
| 3411 | static int |
| 3412 | load_empty_dict(UnpicklerObject *self) |
| 3413 | { |
| 3414 | PyObject *dict; |
| 3415 | |
| 3416 | if ((dict = PyDict_New()) == NULL) |
| 3417 | return -1; |
| 3418 | PDATA_PUSH(self->stack, dict, -1); |
| 3419 | return 0; |
| 3420 | } |
| 3421 | |
| 3422 | static int |
| 3423 | load_list(UnpicklerObject *self) |
| 3424 | { |
| 3425 | PyObject *list; |
| 3426 | int i; |
| 3427 | |
| 3428 | if ((i = marker(self)) < 0) |
| 3429 | return -1; |
| 3430 | |
| 3431 | list = Pdata_poplist(self->stack, i); |
| 3432 | if (list == NULL) |
| 3433 | return -1; |
| 3434 | PDATA_PUSH(self->stack, list, -1); |
| 3435 | return 0; |
| 3436 | } |
| 3437 | |
| 3438 | static int |
| 3439 | load_dict(UnpicklerObject *self) |
| 3440 | { |
| 3441 | PyObject *dict, *key, *value; |
| 3442 | int i, j, k; |
| 3443 | |
| 3444 | if ((i = marker(self)) < 0) |
| 3445 | return -1; |
| 3446 | j = self->stack->length; |
| 3447 | |
| 3448 | if ((dict = PyDict_New()) == NULL) |
| 3449 | return -1; |
| 3450 | |
| 3451 | for (k = i + 1; k < j; k += 2) { |
| 3452 | key = self->stack->data[k - 1]; |
| 3453 | value = self->stack->data[k]; |
| 3454 | if (PyDict_SetItem(dict, key, value) < 0) { |
| 3455 | Py_DECREF(dict); |
| 3456 | return -1; |
| 3457 | } |
| 3458 | } |
| 3459 | Pdata_clear(self->stack, i); |
| 3460 | PDATA_PUSH(self->stack, dict, -1); |
| 3461 | return 0; |
| 3462 | } |
| 3463 | |
| 3464 | static PyObject * |
| 3465 | instantiate(PyObject *cls, PyObject *args) |
| 3466 | { |
| 3467 | PyObject *r = NULL; |
| 3468 | |
| 3469 | /* XXX: The pickle.py module does not create instances this way when the |
| 3470 | args tuple is empty. See Unpickler._instantiate(). */ |
| 3471 | if ((r = PyObject_CallObject(cls, args))) |
| 3472 | return r; |
| 3473 | |
| 3474 | /* XXX: Is this still nescessary? */ |
| 3475 | { |
| 3476 | PyObject *tp, *v, *tb, *tmp_value; |
| 3477 | |
| 3478 | PyErr_Fetch(&tp, &v, &tb); |
| 3479 | tmp_value = v; |
| 3480 | /* NULL occurs when there was a KeyboardInterrupt */ |
| 3481 | if (tmp_value == NULL) |
| 3482 | tmp_value = Py_None; |
| 3483 | if ((r = PyTuple_Pack(3, tmp_value, cls, args))) { |
| 3484 | Py_XDECREF(v); |
| 3485 | v = r; |
| 3486 | } |
| 3487 | PyErr_Restore(tp, v, tb); |
| 3488 | } |
| 3489 | return NULL; |
| 3490 | } |
| 3491 | |
| 3492 | static int |
| 3493 | load_obj(UnpicklerObject *self) |
| 3494 | { |
| 3495 | PyObject *cls, *args, *obj = NULL; |
| 3496 | int i; |
| 3497 | |
| 3498 | if ((i = marker(self)) < 0) |
| 3499 | return -1; |
| 3500 | |
| 3501 | args = Pdata_poptuple(self->stack, i + 1); |
| 3502 | if (args == NULL) |
| 3503 | return -1; |
| 3504 | |
| 3505 | PDATA_POP(self->stack, cls); |
| 3506 | if (cls) { |
| 3507 | obj = instantiate(cls, args); |
| 3508 | Py_DECREF(cls); |
| 3509 | } |
| 3510 | Py_DECREF(args); |
| 3511 | if (obj == NULL) |
| 3512 | return -1; |
| 3513 | |
| 3514 | PDATA_PUSH(self->stack, obj, -1); |
| 3515 | return 0; |
| 3516 | } |
| 3517 | |
| 3518 | static int |
| 3519 | load_inst(UnpicklerObject *self) |
| 3520 | { |
| 3521 | PyObject *cls = NULL; |
| 3522 | PyObject *args = NULL; |
| 3523 | PyObject *obj = NULL; |
| 3524 | PyObject *module_name; |
| 3525 | PyObject *class_name; |
| 3526 | Py_ssize_t len; |
| 3527 | int i; |
| 3528 | char *s; |
| 3529 | |
| 3530 | if ((i = marker(self)) < 0) |
| 3531 | return -1; |
| 3532 | if ((len = unpickler_readline(self, &s)) < 0) |
| 3533 | return -1; |
| 3534 | if (len < 2) |
| 3535 | return bad_readline(); |
| 3536 | |
| 3537 | /* Here it is safe to use PyUnicode_DecodeASCII(), even though non-ASCII |
| 3538 | identifiers are permitted in Python 3.0, since the INST opcode is only |
| 3539 | supported by older protocols on Python 2.x. */ |
| 3540 | module_name = PyUnicode_DecodeASCII(s, len - 1, "strict"); |
| 3541 | if (module_name == NULL) |
| 3542 | return -1; |
| 3543 | |
| 3544 | if ((len = unpickler_readline(self, &s)) >= 0) { |
| 3545 | if (len < 2) |
| 3546 | return bad_readline(); |
| 3547 | class_name = PyUnicode_DecodeASCII(s, len - 1, "strict"); |
| 3548 | if (class_name == NULL) { |
| 3549 | cls = find_class(self, module_name, class_name); |
| 3550 | Py_DECREF(class_name); |
| 3551 | } |
| 3552 | } |
| 3553 | Py_DECREF(module_name); |
| 3554 | |
| 3555 | if (cls == NULL) |
| 3556 | return -1; |
| 3557 | |
| 3558 | if ((args = Pdata_poptuple(self->stack, i)) != NULL) { |
| 3559 | obj = instantiate(cls, args); |
| 3560 | Py_DECREF(args); |
| 3561 | } |
| 3562 | Py_DECREF(cls); |
| 3563 | |
| 3564 | if (obj == NULL) |
| 3565 | return -1; |
| 3566 | |
| 3567 | PDATA_PUSH(self->stack, obj, -1); |
| 3568 | return 0; |
| 3569 | } |
| 3570 | |
| 3571 | static int |
| 3572 | load_newobj(UnpicklerObject *self) |
| 3573 | { |
| 3574 | PyObject *args = NULL; |
| 3575 | PyObject *clsraw = NULL; |
| 3576 | PyTypeObject *cls; /* clsraw cast to its true type */ |
| 3577 | PyObject *obj; |
| 3578 | |
| 3579 | /* Stack is ... cls argtuple, and we want to call |
| 3580 | * cls.__new__(cls, *argtuple). |
| 3581 | */ |
| 3582 | PDATA_POP(self->stack, args); |
| 3583 | if (args == NULL) |
| 3584 | goto error; |
| 3585 | if (!PyTuple_Check(args)) { |
| 3586 | PyErr_SetString(UnpicklingError, "NEWOBJ expected an arg " "tuple."); |
| 3587 | goto error; |
| 3588 | } |
| 3589 | |
| 3590 | PDATA_POP(self->stack, clsraw); |
| 3591 | cls = (PyTypeObject *)clsraw; |
| 3592 | if (cls == NULL) |
| 3593 | goto error; |
| 3594 | if (!PyType_Check(cls)) { |
| 3595 | PyErr_SetString(UnpicklingError, "NEWOBJ class argument " |
| 3596 | "isn't a type object"); |
| 3597 | goto error; |
| 3598 | } |
| 3599 | if (cls->tp_new == NULL) { |
| 3600 | PyErr_SetString(UnpicklingError, "NEWOBJ class argument " |
| 3601 | "has NULL tp_new"); |
| 3602 | goto error; |
| 3603 | } |
| 3604 | |
| 3605 | /* Call __new__. */ |
| 3606 | obj = cls->tp_new(cls, args, NULL); |
| 3607 | if (obj == NULL) |
| 3608 | goto error; |
| 3609 | |
| 3610 | Py_DECREF(args); |
| 3611 | Py_DECREF(clsraw); |
| 3612 | PDATA_PUSH(self->stack, obj, -1); |
| 3613 | return 0; |
| 3614 | |
| 3615 | error: |
| 3616 | Py_XDECREF(args); |
| 3617 | Py_XDECREF(clsraw); |
| 3618 | return -1; |
| 3619 | } |
| 3620 | |
| 3621 | static int |
| 3622 | load_global(UnpicklerObject *self) |
| 3623 | { |
| 3624 | PyObject *global = NULL; |
| 3625 | PyObject *module_name; |
| 3626 | PyObject *global_name; |
| 3627 | Py_ssize_t len; |
| 3628 | char *s; |
| 3629 | |
| 3630 | if ((len = unpickler_readline(self, &s)) < 0) |
| 3631 | return -1; |
| 3632 | if (len < 2) |
| 3633 | return bad_readline(); |
| 3634 | module_name = PyUnicode_DecodeUTF8(s, len - 1, "strict"); |
| 3635 | if (!module_name) |
| 3636 | return -1; |
| 3637 | |
| 3638 | if ((len = unpickler_readline(self, &s)) >= 0) { |
| 3639 | if (len < 2) { |
| 3640 | Py_DECREF(module_name); |
| 3641 | return bad_readline(); |
| 3642 | } |
| 3643 | global_name = PyUnicode_DecodeUTF8(s, len - 1, "strict"); |
| 3644 | if (global_name) { |
| 3645 | global = find_class(self, module_name, global_name); |
| 3646 | Py_DECREF(global_name); |
| 3647 | } |
| 3648 | } |
| 3649 | Py_DECREF(module_name); |
| 3650 | |
| 3651 | if (global == NULL) |
| 3652 | return -1; |
| 3653 | PDATA_PUSH(self->stack, global, -1); |
| 3654 | return 0; |
| 3655 | } |
| 3656 | |
| 3657 | static int |
| 3658 | load_persid(UnpicklerObject *self) |
| 3659 | { |
| 3660 | PyObject *pid; |
| 3661 | Py_ssize_t len; |
| 3662 | char *s; |
| 3663 | |
| 3664 | if (self->pers_func) { |
| 3665 | if ((len = unpickler_readline(self, &s)) < 0) |
| 3666 | return -1; |
| 3667 | if (len < 2) |
| 3668 | return bad_readline(); |
| 3669 | |
| 3670 | pid = PyBytes_FromStringAndSize(s, len - 1); |
| 3671 | if (pid == NULL) |
| 3672 | return -1; |
| 3673 | |
| 3674 | /* Ugh... this does not leak since unpickler_call() steals the |
| 3675 | reference to pid first. */ |
| 3676 | pid = unpickler_call(self, self->pers_func, pid); |
| 3677 | if (pid == NULL) |
| 3678 | return -1; |
| 3679 | |
| 3680 | PDATA_PUSH(self->stack, pid, -1); |
| 3681 | return 0; |
| 3682 | } |
| 3683 | else { |
| 3684 | PyErr_SetString(UnpicklingError, |
| 3685 | "A load persistent id instruction was encountered,\n" |
| 3686 | "but no persistent_load function was specified."); |
| 3687 | return -1; |
| 3688 | } |
| 3689 | } |
| 3690 | |
| 3691 | static int |
| 3692 | load_binpersid(UnpicklerObject *self) |
| 3693 | { |
| 3694 | PyObject *pid; |
| 3695 | |
| 3696 | if (self->pers_func) { |
| 3697 | PDATA_POP(self->stack, pid); |
| 3698 | if (pid == NULL) |
| 3699 | return -1; |
| 3700 | |
| 3701 | /* Ugh... this does not leak since unpickler_call() steals the |
| 3702 | reference to pid first. */ |
| 3703 | pid = unpickler_call(self, self->pers_func, pid); |
| 3704 | if (pid == NULL) |
| 3705 | return -1; |
| 3706 | |
| 3707 | PDATA_PUSH(self->stack, pid, -1); |
| 3708 | return 0; |
| 3709 | } |
| 3710 | else { |
| 3711 | PyErr_SetString(UnpicklingError, |
| 3712 | "A load persistent id instruction was encountered,\n" |
| 3713 | "but no persistent_load function was specified."); |
| 3714 | return -1; |
| 3715 | } |
| 3716 | } |
| 3717 | |
| 3718 | static int |
| 3719 | load_pop(UnpicklerObject *self) |
| 3720 | { |
Collin Winter | 8ca69de | 2009-05-26 16:53:41 +0000 | [diff] [blame] | 3721 | int len = self->stack->length; |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 3722 | |
| 3723 | /* Note that we split the (pickle.py) stack into two stacks, |
| 3724 | * an object stack and a mark stack. We have to be clever and |
| 3725 | * pop the right one. We do this by looking at the top of the |
Collin Winter | 8ca69de | 2009-05-26 16:53:41 +0000 | [diff] [blame] | 3726 | * mark stack first, and only signalling a stack underflow if |
| 3727 | * the object stack is empty and the mark stack doesn't match |
| 3728 | * our expectations. |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 3729 | */ |
Collin Winter | 8ca69de | 2009-05-26 16:53:41 +0000 | [diff] [blame] | 3730 | if (self->num_marks > 0 && self->marks[self->num_marks - 1] == len) { |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 3731 | self->num_marks--; |
Collin Winter | 8ca69de | 2009-05-26 16:53:41 +0000 | [diff] [blame] | 3732 | } else if (len >= 0) { |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 3733 | len--; |
| 3734 | Py_DECREF(self->stack->data[len]); |
| 3735 | self->stack->length = len; |
Collin Winter | 8ca69de | 2009-05-26 16:53:41 +0000 | [diff] [blame] | 3736 | } else { |
| 3737 | return stack_underflow(); |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 3738 | } |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 3739 | return 0; |
| 3740 | } |
| 3741 | |
| 3742 | static int |
| 3743 | load_pop_mark(UnpicklerObject *self) |
| 3744 | { |
| 3745 | int i; |
| 3746 | |
| 3747 | if ((i = marker(self)) < 0) |
| 3748 | return -1; |
| 3749 | |
| 3750 | Pdata_clear(self->stack, i); |
| 3751 | |
| 3752 | return 0; |
| 3753 | } |
| 3754 | |
| 3755 | static int |
| 3756 | load_dup(UnpicklerObject *self) |
| 3757 | { |
| 3758 | PyObject *last; |
| 3759 | int len; |
| 3760 | |
| 3761 | if ((len = self->stack->length) <= 0) |
| 3762 | return stack_underflow(); |
| 3763 | last = self->stack->data[len - 1]; |
| 3764 | PDATA_APPEND(self->stack, last, -1); |
| 3765 | return 0; |
| 3766 | } |
| 3767 | |
| 3768 | static int |
| 3769 | load_get(UnpicklerObject *self) |
| 3770 | { |
| 3771 | PyObject *key, *value; |
| 3772 | Py_ssize_t len; |
| 3773 | char *s; |
| 3774 | |
| 3775 | if ((len = unpickler_readline(self, &s)) < 0) |
| 3776 | return -1; |
| 3777 | if (len < 2) |
| 3778 | return bad_readline(); |
| 3779 | |
| 3780 | key = PyLong_FromString(s, NULL, 10); |
| 3781 | if (key == NULL) |
| 3782 | return -1; |
| 3783 | |
| 3784 | value = PyDict_GetItemWithError(self->memo, key); |
| 3785 | if (value == NULL) { |
| 3786 | if (!PyErr_Occurred()) |
| 3787 | PyErr_SetObject(PyExc_KeyError, key); |
| 3788 | Py_DECREF(key); |
| 3789 | return -1; |
| 3790 | } |
| 3791 | Py_DECREF(key); |
| 3792 | |
| 3793 | PDATA_APPEND(self->stack, value, -1); |
| 3794 | return 0; |
| 3795 | } |
| 3796 | |
| 3797 | static int |
| 3798 | load_binget(UnpicklerObject *self) |
| 3799 | { |
| 3800 | PyObject *key, *value; |
| 3801 | char *s; |
| 3802 | |
| 3803 | if (unpickler_read(self, &s, 1) < 0) |
| 3804 | return -1; |
| 3805 | |
| 3806 | /* Here, the unsigned cast is necessary to avoid negative values. */ |
| 3807 | key = PyLong_FromLong((long)(unsigned char)s[0]); |
| 3808 | if (key == NULL) |
| 3809 | return -1; |
| 3810 | |
| 3811 | value = PyDict_GetItemWithError(self->memo, key); |
| 3812 | if (value == NULL) { |
| 3813 | if (!PyErr_Occurred()) |
| 3814 | PyErr_SetObject(PyExc_KeyError, key); |
| 3815 | Py_DECREF(key); |
| 3816 | return -1; |
| 3817 | } |
| 3818 | Py_DECREF(key); |
| 3819 | |
| 3820 | PDATA_APPEND(self->stack, value, -1); |
| 3821 | return 0; |
| 3822 | } |
| 3823 | |
| 3824 | static int |
| 3825 | load_long_binget(UnpicklerObject *self) |
| 3826 | { |
| 3827 | PyObject *key, *value; |
| 3828 | char *s; |
| 3829 | long k; |
| 3830 | |
| 3831 | if (unpickler_read(self, &s, 4) < 0) |
| 3832 | return -1; |
| 3833 | |
| 3834 | k = (long)(unsigned char)s[0]; |
| 3835 | k |= (long)(unsigned char)s[1] << 8; |
| 3836 | k |= (long)(unsigned char)s[2] << 16; |
| 3837 | k |= (long)(unsigned char)s[3] << 24; |
| 3838 | |
| 3839 | key = PyLong_FromLong(k); |
| 3840 | if (key == NULL) |
| 3841 | return -1; |
| 3842 | |
| 3843 | value = PyDict_GetItemWithError(self->memo, key); |
| 3844 | if (value == NULL) { |
| 3845 | if (!PyErr_Occurred()) |
| 3846 | PyErr_SetObject(PyExc_KeyError, key); |
| 3847 | Py_DECREF(key); |
| 3848 | return -1; |
| 3849 | } |
| 3850 | Py_DECREF(key); |
| 3851 | |
| 3852 | PDATA_APPEND(self->stack, value, -1); |
| 3853 | return 0; |
| 3854 | } |
| 3855 | |
| 3856 | /* Push an object from the extension registry (EXT[124]). nbytes is |
| 3857 | * the number of bytes following the opcode, holding the index (code) value. |
| 3858 | */ |
| 3859 | static int |
| 3860 | load_extension(UnpicklerObject *self, int nbytes) |
| 3861 | { |
| 3862 | char *codebytes; /* the nbytes bytes after the opcode */ |
| 3863 | long code; /* calc_binint returns long */ |
| 3864 | PyObject *py_code; /* code as a Python int */ |
| 3865 | PyObject *obj; /* the object to push */ |
| 3866 | PyObject *pair; /* (module_name, class_name) */ |
| 3867 | PyObject *module_name, *class_name; |
| 3868 | |
| 3869 | assert(nbytes == 1 || nbytes == 2 || nbytes == 4); |
| 3870 | if (unpickler_read(self, &codebytes, nbytes) < 0) |
| 3871 | return -1; |
| 3872 | code = calc_binint(codebytes, nbytes); |
| 3873 | if (code <= 0) { /* note that 0 is forbidden */ |
| 3874 | /* Corrupt or hostile pickle. */ |
| 3875 | PyErr_SetString(UnpicklingError, "EXT specifies code <= 0"); |
| 3876 | return -1; |
| 3877 | } |
| 3878 | |
| 3879 | /* Look for the code in the cache. */ |
| 3880 | py_code = PyLong_FromLong(code); |
| 3881 | if (py_code == NULL) |
| 3882 | return -1; |
| 3883 | obj = PyDict_GetItem(extension_cache, py_code); |
| 3884 | if (obj != NULL) { |
| 3885 | /* Bingo. */ |
| 3886 | Py_DECREF(py_code); |
| 3887 | PDATA_APPEND(self->stack, obj, -1); |
| 3888 | return 0; |
| 3889 | } |
| 3890 | |
| 3891 | /* Look up the (module_name, class_name) pair. */ |
| 3892 | pair = PyDict_GetItem(inverted_registry, py_code); |
| 3893 | if (pair == NULL) { |
| 3894 | Py_DECREF(py_code); |
| 3895 | PyErr_Format(PyExc_ValueError, "unregistered extension " |
| 3896 | "code %ld", code); |
| 3897 | return -1; |
| 3898 | } |
| 3899 | /* Since the extension registry is manipulable via Python code, |
| 3900 | * confirm that pair is really a 2-tuple of strings. |
| 3901 | */ |
| 3902 | if (!PyTuple_Check(pair) || PyTuple_Size(pair) != 2 || |
| 3903 | !PyUnicode_Check(module_name = PyTuple_GET_ITEM(pair, 0)) || |
| 3904 | !PyUnicode_Check(class_name = PyTuple_GET_ITEM(pair, 1))) { |
| 3905 | Py_DECREF(py_code); |
| 3906 | PyErr_Format(PyExc_ValueError, "_inverted_registry[%ld] " |
| 3907 | "isn't a 2-tuple of strings", code); |
| 3908 | return -1; |
| 3909 | } |
| 3910 | /* Load the object. */ |
| 3911 | obj = find_class(self, module_name, class_name); |
| 3912 | if (obj == NULL) { |
| 3913 | Py_DECREF(py_code); |
| 3914 | return -1; |
| 3915 | } |
| 3916 | /* Cache code -> obj. */ |
| 3917 | code = PyDict_SetItem(extension_cache, py_code, obj); |
| 3918 | Py_DECREF(py_code); |
| 3919 | if (code < 0) { |
| 3920 | Py_DECREF(obj); |
| 3921 | return -1; |
| 3922 | } |
| 3923 | PDATA_PUSH(self->stack, obj, -1); |
| 3924 | return 0; |
| 3925 | } |
| 3926 | |
| 3927 | static int |
| 3928 | load_put(UnpicklerObject *self) |
| 3929 | { |
| 3930 | PyObject *key, *value; |
| 3931 | Py_ssize_t len; |
| 3932 | char *s; |
| 3933 | int x; |
| 3934 | |
| 3935 | if ((len = unpickler_readline(self, &s)) < 0) |
| 3936 | return -1; |
| 3937 | if (len < 2) |
| 3938 | return bad_readline(); |
| 3939 | if ((x = self->stack->length) <= 0) |
| 3940 | return stack_underflow(); |
| 3941 | |
| 3942 | key = PyLong_FromString(s, NULL, 10); |
| 3943 | if (key == NULL) |
| 3944 | return -1; |
| 3945 | value = self->stack->data[x - 1]; |
| 3946 | |
| 3947 | x = PyDict_SetItem(self->memo, key, value); |
| 3948 | Py_DECREF(key); |
| 3949 | return x; |
| 3950 | } |
| 3951 | |
| 3952 | static int |
| 3953 | load_binput(UnpicklerObject *self) |
| 3954 | { |
| 3955 | PyObject *key, *value; |
| 3956 | char *s; |
| 3957 | int x; |
| 3958 | |
| 3959 | if (unpickler_read(self, &s, 1) < 0) |
| 3960 | return -1; |
| 3961 | if ((x = self->stack->length) <= 0) |
| 3962 | return stack_underflow(); |
| 3963 | |
| 3964 | key = PyLong_FromLong((long)(unsigned char)s[0]); |
| 3965 | if (key == NULL) |
| 3966 | return -1; |
| 3967 | value = self->stack->data[x - 1]; |
| 3968 | |
| 3969 | x = PyDict_SetItem(self->memo, key, value); |
| 3970 | Py_DECREF(key); |
| 3971 | return x; |
| 3972 | } |
| 3973 | |
| 3974 | static int |
| 3975 | load_long_binput(UnpicklerObject *self) |
| 3976 | { |
| 3977 | PyObject *key, *value; |
| 3978 | long k; |
| 3979 | char *s; |
| 3980 | int x; |
| 3981 | |
| 3982 | if (unpickler_read(self, &s, 4) < 0) |
| 3983 | return -1; |
| 3984 | if ((x = self->stack->length) <= 0) |
| 3985 | return stack_underflow(); |
| 3986 | |
| 3987 | k = (long)(unsigned char)s[0]; |
| 3988 | k |= (long)(unsigned char)s[1] << 8; |
| 3989 | k |= (long)(unsigned char)s[2] << 16; |
| 3990 | k |= (long)(unsigned char)s[3] << 24; |
| 3991 | |
| 3992 | key = PyLong_FromLong(k); |
| 3993 | if (key == NULL) |
| 3994 | return -1; |
| 3995 | value = self->stack->data[x - 1]; |
| 3996 | |
| 3997 | x = PyDict_SetItem(self->memo, key, value); |
| 3998 | Py_DECREF(key); |
| 3999 | return x; |
| 4000 | } |
| 4001 | |
| 4002 | static int |
| 4003 | do_append(UnpicklerObject *self, int x) |
| 4004 | { |
| 4005 | PyObject *value; |
| 4006 | PyObject *list; |
| 4007 | int len, i; |
| 4008 | |
| 4009 | len = self->stack->length; |
| 4010 | if (x > len || x <= 0) |
| 4011 | return stack_underflow(); |
| 4012 | if (len == x) /* nothing to do */ |
| 4013 | return 0; |
| 4014 | |
| 4015 | list = self->stack->data[x - 1]; |
| 4016 | |
| 4017 | if (PyList_Check(list)) { |
| 4018 | PyObject *slice; |
| 4019 | Py_ssize_t list_len; |
| 4020 | |
| 4021 | slice = Pdata_poplist(self->stack, x); |
| 4022 | if (!slice) |
| 4023 | return -1; |
| 4024 | list_len = PyList_GET_SIZE(list); |
| 4025 | i = PyList_SetSlice(list, list_len, list_len, slice); |
| 4026 | Py_DECREF(slice); |
| 4027 | return i; |
| 4028 | } |
| 4029 | else { |
| 4030 | PyObject *append_func; |
| 4031 | |
| 4032 | append_func = PyObject_GetAttrString(list, "append"); |
| 4033 | if (append_func == NULL) |
| 4034 | return -1; |
| 4035 | for (i = x; i < len; i++) { |
| 4036 | PyObject *result; |
| 4037 | |
| 4038 | value = self->stack->data[i]; |
| 4039 | result = unpickler_call(self, append_func, value); |
| 4040 | if (result == NULL) { |
| 4041 | Pdata_clear(self->stack, i + 1); |
| 4042 | self->stack->length = x; |
| 4043 | return -1; |
| 4044 | } |
| 4045 | Py_DECREF(result); |
| 4046 | } |
| 4047 | self->stack->length = x; |
| 4048 | } |
| 4049 | |
| 4050 | return 0; |
| 4051 | } |
| 4052 | |
| 4053 | static int |
| 4054 | load_append(UnpicklerObject *self) |
| 4055 | { |
| 4056 | return do_append(self, self->stack->length - 1); |
| 4057 | } |
| 4058 | |
| 4059 | static int |
| 4060 | load_appends(UnpicklerObject *self) |
| 4061 | { |
| 4062 | return do_append(self, marker(self)); |
| 4063 | } |
| 4064 | |
| 4065 | static int |
| 4066 | do_setitems(UnpicklerObject *self, int x) |
| 4067 | { |
| 4068 | PyObject *value, *key; |
| 4069 | PyObject *dict; |
| 4070 | int len, i; |
| 4071 | int status = 0; |
| 4072 | |
| 4073 | len = self->stack->length; |
| 4074 | if (x > len || x <= 0) |
| 4075 | return stack_underflow(); |
| 4076 | if (len == x) /* nothing to do */ |
| 4077 | return 0; |
| 4078 | if ((len - x) % 2 != 0) { |
| 4079 | /* Currupt or hostile pickle -- we never write one like this. */ |
| 4080 | PyErr_SetString(UnpicklingError, "odd number of items for SETITEMS"); |
| 4081 | return -1; |
| 4082 | } |
| 4083 | |
| 4084 | /* Here, dict does not actually need to be a PyDict; it could be anything |
| 4085 | that supports the __setitem__ attribute. */ |
| 4086 | dict = self->stack->data[x - 1]; |
| 4087 | |
| 4088 | for (i = x + 1; i < len; i += 2) { |
| 4089 | key = self->stack->data[i - 1]; |
| 4090 | value = self->stack->data[i]; |
| 4091 | if (PyObject_SetItem(dict, key, value) < 0) { |
| 4092 | status = -1; |
| 4093 | break; |
| 4094 | } |
| 4095 | } |
| 4096 | |
| 4097 | Pdata_clear(self->stack, x); |
| 4098 | return status; |
| 4099 | } |
| 4100 | |
| 4101 | static int |
| 4102 | load_setitem(UnpicklerObject *self) |
| 4103 | { |
| 4104 | return do_setitems(self, self->stack->length - 2); |
| 4105 | } |
| 4106 | |
| 4107 | static int |
| 4108 | load_setitems(UnpicklerObject *self) |
| 4109 | { |
| 4110 | return do_setitems(self, marker(self)); |
| 4111 | } |
| 4112 | |
| 4113 | static int |
| 4114 | load_build(UnpicklerObject *self) |
| 4115 | { |
| 4116 | PyObject *state, *inst, *slotstate; |
| 4117 | PyObject *setstate; |
| 4118 | int status = 0; |
| 4119 | |
| 4120 | /* Stack is ... instance, state. We want to leave instance at |
| 4121 | * the stack top, possibly mutated via instance.__setstate__(state). |
| 4122 | */ |
| 4123 | if (self->stack->length < 2) |
| 4124 | return stack_underflow(); |
| 4125 | |
| 4126 | PDATA_POP(self->stack, state); |
| 4127 | if (state == NULL) |
| 4128 | return -1; |
| 4129 | |
| 4130 | inst = self->stack->data[self->stack->length - 1]; |
| 4131 | |
| 4132 | setstate = PyObject_GetAttrString(inst, "__setstate__"); |
Alexandre Vassalotti | 1f9d907 | 2008-08-15 03:07:47 +0000 | [diff] [blame] | 4133 | if (setstate == NULL) { |
| 4134 | if (PyErr_ExceptionMatches(PyExc_AttributeError)) |
| 4135 | PyErr_Clear(); |
Antoine Pitrou | d79dc62 | 2008-09-05 00:03:33 +0000 | [diff] [blame] | 4136 | else { |
| 4137 | Py_DECREF(state); |
Alexandre Vassalotti | 1f9d907 | 2008-08-15 03:07:47 +0000 | [diff] [blame] | 4138 | return -1; |
Antoine Pitrou | d79dc62 | 2008-09-05 00:03:33 +0000 | [diff] [blame] | 4139 | } |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 4140 | } |
| 4141 | else { |
| 4142 | PyObject *result; |
| 4143 | |
| 4144 | /* The explicit __setstate__ is responsible for everything. */ |
Antoine Pitrou | d79dc62 | 2008-09-05 00:03:33 +0000 | [diff] [blame] | 4145 | /* Ugh... this does not leak since unpickler_call() steals the |
| 4146 | reference to state first. */ |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 4147 | result = unpickler_call(self, setstate, state); |
| 4148 | Py_DECREF(setstate); |
| 4149 | if (result == NULL) |
| 4150 | return -1; |
| 4151 | Py_DECREF(result); |
| 4152 | return 0; |
| 4153 | } |
| 4154 | |
| 4155 | /* A default __setstate__. First see whether state embeds a |
| 4156 | * slot state dict too (a proto 2 addition). |
| 4157 | */ |
| 4158 | if (PyTuple_Check(state) && Py_SIZE(state) == 2) { |
| 4159 | PyObject *tmp = state; |
| 4160 | |
| 4161 | state = PyTuple_GET_ITEM(tmp, 0); |
| 4162 | slotstate = PyTuple_GET_ITEM(tmp, 1); |
| 4163 | Py_INCREF(state); |
| 4164 | Py_INCREF(slotstate); |
| 4165 | Py_DECREF(tmp); |
| 4166 | } |
| 4167 | else |
| 4168 | slotstate = NULL; |
| 4169 | |
| 4170 | /* Set inst.__dict__ from the state dict (if any). */ |
| 4171 | if (state != Py_None) { |
| 4172 | PyObject *dict; |
Antoine Pitrou | a9f48a0 | 2009-05-02 21:41:14 +0000 | [diff] [blame] | 4173 | PyObject *d_key, *d_value; |
| 4174 | Py_ssize_t i; |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 4175 | |
| 4176 | if (!PyDict_Check(state)) { |
| 4177 | PyErr_SetString(UnpicklingError, "state is not a dictionary"); |
| 4178 | goto error; |
| 4179 | } |
| 4180 | dict = PyObject_GetAttrString(inst, "__dict__"); |
| 4181 | if (dict == NULL) |
| 4182 | goto error; |
| 4183 | |
Antoine Pitrou | a9f48a0 | 2009-05-02 21:41:14 +0000 | [diff] [blame] | 4184 | i = 0; |
| 4185 | while (PyDict_Next(state, &i, &d_key, &d_value)) { |
| 4186 | /* normally the keys for instance attributes are |
| 4187 | interned. we should try to do that here. */ |
| 4188 | Py_INCREF(d_key); |
| 4189 | if (PyUnicode_CheckExact(d_key)) |
| 4190 | PyUnicode_InternInPlace(&d_key); |
| 4191 | if (PyObject_SetItem(dict, d_key, d_value) < 0) { |
| 4192 | Py_DECREF(d_key); |
| 4193 | goto error; |
| 4194 | } |
| 4195 | Py_DECREF(d_key); |
| 4196 | } |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 4197 | Py_DECREF(dict); |
| 4198 | } |
| 4199 | |
| 4200 | /* Also set instance attributes from the slotstate dict (if any). */ |
| 4201 | if (slotstate != NULL) { |
| 4202 | PyObject *d_key, *d_value; |
| 4203 | Py_ssize_t i; |
| 4204 | |
| 4205 | if (!PyDict_Check(slotstate)) { |
| 4206 | PyErr_SetString(UnpicklingError, |
| 4207 | "slot state is not a dictionary"); |
| 4208 | goto error; |
| 4209 | } |
| 4210 | i = 0; |
| 4211 | while (PyDict_Next(slotstate, &i, &d_key, &d_value)) { |
| 4212 | if (PyObject_SetAttr(inst, d_key, d_value) < 0) |
| 4213 | goto error; |
| 4214 | } |
| 4215 | } |
| 4216 | |
| 4217 | if (0) { |
| 4218 | error: |
| 4219 | status = -1; |
| 4220 | } |
| 4221 | |
| 4222 | Py_DECREF(state); |
| 4223 | Py_XDECREF(slotstate); |
| 4224 | return status; |
| 4225 | } |
| 4226 | |
| 4227 | static int |
| 4228 | load_mark(UnpicklerObject *self) |
| 4229 | { |
| 4230 | |
| 4231 | /* Note that we split the (pickle.py) stack into two stacks, an |
| 4232 | * object stack and a mark stack. Here we push a mark onto the |
| 4233 | * mark stack. |
| 4234 | */ |
| 4235 | |
| 4236 | if ((self->num_marks + 1) >= self->marks_size) { |
| 4237 | size_t alloc; |
| 4238 | int *marks; |
| 4239 | |
| 4240 | /* Use the size_t type to check for overflow. */ |
| 4241 | alloc = ((size_t)self->num_marks << 1) + 20; |
Alexandre Vassalotti | 7634ff5 | 2008-06-13 02:16:06 +0000 | [diff] [blame] | 4242 | if (alloc > PY_SSIZE_T_MAX || |
| 4243 | alloc <= ((size_t)self->num_marks + 1)) { |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 4244 | PyErr_NoMemory(); |
| 4245 | return -1; |
| 4246 | } |
| 4247 | |
| 4248 | if (self->marks == NULL) |
| 4249 | marks = (int *)PyMem_Malloc(alloc * sizeof(int)); |
| 4250 | else |
| 4251 | marks = (int *)PyMem_Realloc(self->marks, alloc * sizeof(int)); |
| 4252 | if (marks == NULL) { |
| 4253 | PyErr_NoMemory(); |
| 4254 | return -1; |
| 4255 | } |
| 4256 | self->marks = marks; |
| 4257 | self->marks_size = (Py_ssize_t)alloc; |
| 4258 | } |
| 4259 | |
| 4260 | self->marks[self->num_marks++] = self->stack->length; |
| 4261 | |
| 4262 | return 0; |
| 4263 | } |
| 4264 | |
| 4265 | static int |
| 4266 | load_reduce(UnpicklerObject *self) |
| 4267 | { |
| 4268 | PyObject *callable = NULL; |
| 4269 | PyObject *argtup = NULL; |
| 4270 | PyObject *obj = NULL; |
| 4271 | |
| 4272 | PDATA_POP(self->stack, argtup); |
| 4273 | if (argtup == NULL) |
| 4274 | return -1; |
| 4275 | PDATA_POP(self->stack, callable); |
| 4276 | if (callable) { |
| 4277 | obj = instantiate(callable, argtup); |
| 4278 | Py_DECREF(callable); |
| 4279 | } |
| 4280 | Py_DECREF(argtup); |
| 4281 | |
| 4282 | if (obj == NULL) |
| 4283 | return -1; |
| 4284 | |
| 4285 | PDATA_PUSH(self->stack, obj, -1); |
| 4286 | return 0; |
| 4287 | } |
| 4288 | |
| 4289 | /* Just raises an error if we don't know the protocol specified. PROTO |
| 4290 | * is the first opcode for protocols >= 2. |
| 4291 | */ |
| 4292 | static int |
| 4293 | load_proto(UnpicklerObject *self) |
| 4294 | { |
| 4295 | char *s; |
| 4296 | int i; |
| 4297 | |
| 4298 | if (unpickler_read(self, &s, 1) < 0) |
| 4299 | return -1; |
| 4300 | |
| 4301 | i = (unsigned char)s[0]; |
Antoine Pitrou | d9dfaa9 | 2009-06-04 20:32:06 +0000 | [diff] [blame] | 4302 | if (i <= HIGHEST_PROTOCOL) { |
| 4303 | self->proto = i; |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 4304 | return 0; |
Antoine Pitrou | d9dfaa9 | 2009-06-04 20:32:06 +0000 | [diff] [blame] | 4305 | } |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 4306 | |
| 4307 | PyErr_Format(PyExc_ValueError, "unsupported pickle protocol: %d", i); |
| 4308 | return -1; |
| 4309 | } |
| 4310 | |
| 4311 | static PyObject * |
| 4312 | load(UnpicklerObject *self) |
| 4313 | { |
| 4314 | PyObject *err; |
| 4315 | PyObject *value = NULL; |
| 4316 | char *s; |
| 4317 | |
| 4318 | self->num_marks = 0; |
| 4319 | if (self->stack->length) |
| 4320 | Pdata_clear(self->stack, 0); |
| 4321 | |
| 4322 | /* Convenient macros for the dispatch while-switch loop just below. */ |
| 4323 | #define OP(opcode, load_func) \ |
| 4324 | case opcode: if (load_func(self) < 0) break; continue; |
| 4325 | |
| 4326 | #define OP_ARG(opcode, load_func, arg) \ |
| 4327 | case opcode: if (load_func(self, (arg)) < 0) break; continue; |
| 4328 | |
| 4329 | while (1) { |
| 4330 | if (unpickler_read(self, &s, 1) < 0) |
| 4331 | break; |
| 4332 | |
| 4333 | switch ((enum opcode)s[0]) { |
| 4334 | OP(NONE, load_none) |
| 4335 | OP(BININT, load_binint) |
| 4336 | OP(BININT1, load_binint1) |
| 4337 | OP(BININT2, load_binint2) |
| 4338 | OP(INT, load_int) |
| 4339 | OP(LONG, load_long) |
| 4340 | OP_ARG(LONG1, load_counted_long, 1) |
| 4341 | OP_ARG(LONG4, load_counted_long, 4) |
| 4342 | OP(FLOAT, load_float) |
| 4343 | OP(BINFLOAT, load_binfloat) |
| 4344 | OP(BINBYTES, load_binbytes) |
| 4345 | OP(SHORT_BINBYTES, load_short_binbytes) |
| 4346 | OP(BINSTRING, load_binstring) |
| 4347 | OP(SHORT_BINSTRING, load_short_binstring) |
| 4348 | OP(STRING, load_string) |
| 4349 | OP(UNICODE, load_unicode) |
| 4350 | OP(BINUNICODE, load_binunicode) |
| 4351 | OP_ARG(EMPTY_TUPLE, load_counted_tuple, 0) |
| 4352 | OP_ARG(TUPLE1, load_counted_tuple, 1) |
| 4353 | OP_ARG(TUPLE2, load_counted_tuple, 2) |
| 4354 | OP_ARG(TUPLE3, load_counted_tuple, 3) |
| 4355 | OP(TUPLE, load_tuple) |
| 4356 | OP(EMPTY_LIST, load_empty_list) |
| 4357 | OP(LIST, load_list) |
| 4358 | OP(EMPTY_DICT, load_empty_dict) |
| 4359 | OP(DICT, load_dict) |
| 4360 | OP(OBJ, load_obj) |
| 4361 | OP(INST, load_inst) |
| 4362 | OP(NEWOBJ, load_newobj) |
| 4363 | OP(GLOBAL, load_global) |
| 4364 | OP(APPEND, load_append) |
| 4365 | OP(APPENDS, load_appends) |
| 4366 | OP(BUILD, load_build) |
| 4367 | OP(DUP, load_dup) |
| 4368 | OP(BINGET, load_binget) |
| 4369 | OP(LONG_BINGET, load_long_binget) |
| 4370 | OP(GET, load_get) |
| 4371 | OP(MARK, load_mark) |
| 4372 | OP(BINPUT, load_binput) |
| 4373 | OP(LONG_BINPUT, load_long_binput) |
| 4374 | OP(PUT, load_put) |
| 4375 | OP(POP, load_pop) |
| 4376 | OP(POP_MARK, load_pop_mark) |
| 4377 | OP(SETITEM, load_setitem) |
| 4378 | OP(SETITEMS, load_setitems) |
| 4379 | OP(PERSID, load_persid) |
| 4380 | OP(BINPERSID, load_binpersid) |
| 4381 | OP(REDUCE, load_reduce) |
| 4382 | OP(PROTO, load_proto) |
| 4383 | OP_ARG(EXT1, load_extension, 1) |
| 4384 | OP_ARG(EXT2, load_extension, 2) |
| 4385 | OP_ARG(EXT4, load_extension, 4) |
| 4386 | OP_ARG(NEWTRUE, load_bool, Py_True) |
| 4387 | OP_ARG(NEWFALSE, load_bool, Py_False) |
| 4388 | |
| 4389 | case STOP: |
| 4390 | break; |
| 4391 | |
| 4392 | case '\0': |
| 4393 | PyErr_SetNone(PyExc_EOFError); |
| 4394 | return NULL; |
| 4395 | |
| 4396 | default: |
| 4397 | PyErr_Format(UnpicklingError, |
| 4398 | "invalid load key, '%c'.", s[0]); |
| 4399 | return NULL; |
| 4400 | } |
| 4401 | |
| 4402 | break; /* and we are done! */ |
| 4403 | } |
| 4404 | |
| 4405 | /* XXX: It is not clear what this is actually for. */ |
| 4406 | if ((err = PyErr_Occurred())) { |
| 4407 | if (err == PyExc_EOFError) { |
| 4408 | PyErr_SetNone(PyExc_EOFError); |
| 4409 | } |
| 4410 | return NULL; |
| 4411 | } |
| 4412 | |
| 4413 | PDATA_POP(self->stack, value); |
| 4414 | return value; |
| 4415 | } |
| 4416 | |
| 4417 | PyDoc_STRVAR(Unpickler_load_doc, |
| 4418 | "load() -> object. Load a pickle." |
| 4419 | "\n" |
| 4420 | "Read a pickled object representation from the open file object given in\n" |
| 4421 | "the constructor, and return the reconstituted object hierarchy specified\n" |
| 4422 | "therein.\n"); |
| 4423 | |
| 4424 | static PyObject * |
| 4425 | Unpickler_load(UnpicklerObject *self) |
| 4426 | { |
| 4427 | /* Check whether the Unpickler was initialized correctly. This prevents |
| 4428 | segfaulting if a subclass overridden __init__ with a function that does |
| 4429 | not call Unpickler.__init__(). Here, we simply ensure that self->read |
| 4430 | is not NULL. */ |
| 4431 | if (self->read == NULL) { |
| 4432 | PyErr_Format(UnpicklingError, |
| 4433 | "Unpickler.__init__() was not called by %s.__init__()", |
| 4434 | Py_TYPE(self)->tp_name); |
| 4435 | return NULL; |
| 4436 | } |
| 4437 | |
| 4438 | return load(self); |
| 4439 | } |
| 4440 | |
| 4441 | /* The name of find_class() is misleading. In newer pickle protocols, this |
| 4442 | function is used for loading any global (i.e., functions), not just |
| 4443 | classes. The name is kept only for backward compatibility. */ |
| 4444 | |
| 4445 | PyDoc_STRVAR(Unpickler_find_class_doc, |
| 4446 | "find_class(module_name, global_name) -> object.\n" |
| 4447 | "\n" |
| 4448 | "Return an object from a specified module, importing the module if\n" |
| 4449 | "necessary. Subclasses may override this method (e.g. to restrict\n" |
| 4450 | "unpickling of arbitrary classes and functions).\n" |
| 4451 | "\n" |
| 4452 | "This method is called whenever a class or a function object is\n" |
| 4453 | "needed. Both arguments passed are str objects.\n"); |
| 4454 | |
| 4455 | static PyObject * |
| 4456 | Unpickler_find_class(UnpicklerObject *self, PyObject *args) |
| 4457 | { |
| 4458 | PyObject *global; |
| 4459 | PyObject *modules_dict; |
| 4460 | PyObject *module; |
| 4461 | PyObject *module_name, *global_name; |
| 4462 | |
| 4463 | if (!PyArg_UnpackTuple(args, "find_class", 2, 2, |
| 4464 | &module_name, &global_name)) |
| 4465 | return NULL; |
| 4466 | |
Antoine Pitrou | d9dfaa9 | 2009-06-04 20:32:06 +0000 | [diff] [blame] | 4467 | /* Try to map the old names used in Python 2.x to the new ones used in |
| 4468 | Python 3.x. We do this only with old pickle protocols and when the |
| 4469 | user has not disabled the feature. */ |
| 4470 | if (self->proto < 3 && self->fix_imports) { |
| 4471 | PyObject *key; |
| 4472 | PyObject *item; |
| 4473 | |
| 4474 | /* Check if the global (i.e., a function or a class) was renamed |
| 4475 | or moved to another module. */ |
| 4476 | key = PyTuple_Pack(2, module_name, global_name); |
| 4477 | if (key == NULL) |
| 4478 | return NULL; |
| 4479 | item = PyDict_GetItemWithError(name_mapping_2to3, key); |
| 4480 | Py_DECREF(key); |
| 4481 | if (item) { |
| 4482 | if (!PyTuple_Check(item) || PyTuple_GET_SIZE(item) != 2) { |
| 4483 | PyErr_Format(PyExc_RuntimeError, |
| 4484 | "_compat_pickle.NAME_MAPPING values should be " |
| 4485 | "2-tuples, not %.200s", Py_TYPE(item)->tp_name); |
| 4486 | return NULL; |
| 4487 | } |
| 4488 | module_name = PyTuple_GET_ITEM(item, 0); |
| 4489 | global_name = PyTuple_GET_ITEM(item, 1); |
| 4490 | if (!PyUnicode_Check(module_name) || |
| 4491 | !PyUnicode_Check(global_name)) { |
| 4492 | PyErr_Format(PyExc_RuntimeError, |
| 4493 | "_compat_pickle.NAME_MAPPING values should be " |
| 4494 | "pairs of str, not (%.200s, %.200s)", |
| 4495 | Py_TYPE(module_name)->tp_name, |
| 4496 | Py_TYPE(global_name)->tp_name); |
| 4497 | return NULL; |
| 4498 | } |
| 4499 | } |
| 4500 | else if (PyErr_Occurred()) { |
| 4501 | return NULL; |
| 4502 | } |
| 4503 | |
| 4504 | /* Check if the module was renamed. */ |
| 4505 | item = PyDict_GetItemWithError(import_mapping_2to3, module_name); |
| 4506 | if (item) { |
| 4507 | if (!PyUnicode_Check(item)) { |
| 4508 | PyErr_Format(PyExc_RuntimeError, |
| 4509 | "_compat_pickle.IMPORT_MAPPING values should be " |
| 4510 | "strings, not %.200s", Py_TYPE(item)->tp_name); |
| 4511 | return NULL; |
| 4512 | } |
| 4513 | module_name = item; |
| 4514 | } |
| 4515 | else if (PyErr_Occurred()) { |
| 4516 | return NULL; |
| 4517 | } |
| 4518 | } |
| 4519 | |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 4520 | modules_dict = PySys_GetObject("modules"); |
| 4521 | if (modules_dict == NULL) |
| 4522 | return NULL; |
| 4523 | |
Antoine Pitrou | d9dfaa9 | 2009-06-04 20:32:06 +0000 | [diff] [blame] | 4524 | module = PyDict_GetItemWithError(modules_dict, module_name); |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 4525 | if (module == NULL) { |
Antoine Pitrou | d9dfaa9 | 2009-06-04 20:32:06 +0000 | [diff] [blame] | 4526 | if (PyErr_Occurred()) |
| 4527 | return NULL; |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 4528 | module = PyImport_Import(module_name); |
| 4529 | if (module == NULL) |
| 4530 | return NULL; |
| 4531 | global = PyObject_GetAttr(module, global_name); |
| 4532 | Py_DECREF(module); |
| 4533 | } |
| 4534 | else { |
| 4535 | global = PyObject_GetAttr(module, global_name); |
| 4536 | } |
| 4537 | return global; |
| 4538 | } |
| 4539 | |
| 4540 | static struct PyMethodDef Unpickler_methods[] = { |
| 4541 | {"load", (PyCFunction)Unpickler_load, METH_NOARGS, |
| 4542 | Unpickler_load_doc}, |
| 4543 | {"find_class", (PyCFunction)Unpickler_find_class, METH_VARARGS, |
| 4544 | Unpickler_find_class_doc}, |
| 4545 | {NULL, NULL} /* sentinel */ |
| 4546 | }; |
| 4547 | |
| 4548 | static void |
| 4549 | Unpickler_dealloc(UnpicklerObject *self) |
| 4550 | { |
| 4551 | PyObject_GC_UnTrack((PyObject *)self); |
| 4552 | Py_XDECREF(self->readline); |
| 4553 | Py_XDECREF(self->read); |
| 4554 | Py_XDECREF(self->memo); |
| 4555 | Py_XDECREF(self->stack); |
| 4556 | Py_XDECREF(self->pers_func); |
| 4557 | Py_XDECREF(self->arg); |
| 4558 | Py_XDECREF(self->last_string); |
| 4559 | |
| 4560 | PyMem_Free(self->marks); |
| 4561 | free(self->encoding); |
| 4562 | free(self->errors); |
| 4563 | |
| 4564 | Py_TYPE(self)->tp_free((PyObject *)self); |
| 4565 | } |
| 4566 | |
| 4567 | static int |
| 4568 | Unpickler_traverse(UnpicklerObject *self, visitproc visit, void *arg) |
| 4569 | { |
| 4570 | Py_VISIT(self->readline); |
| 4571 | Py_VISIT(self->read); |
| 4572 | Py_VISIT(self->memo); |
| 4573 | Py_VISIT(self->stack); |
| 4574 | Py_VISIT(self->pers_func); |
| 4575 | Py_VISIT(self->arg); |
| 4576 | Py_VISIT(self->last_string); |
| 4577 | return 0; |
| 4578 | } |
| 4579 | |
| 4580 | static int |
| 4581 | Unpickler_clear(UnpicklerObject *self) |
| 4582 | { |
| 4583 | Py_CLEAR(self->readline); |
| 4584 | Py_CLEAR(self->read); |
| 4585 | Py_CLEAR(self->memo); |
| 4586 | Py_CLEAR(self->stack); |
| 4587 | Py_CLEAR(self->pers_func); |
| 4588 | Py_CLEAR(self->arg); |
| 4589 | Py_CLEAR(self->last_string); |
| 4590 | |
| 4591 | PyMem_Free(self->marks); |
| 4592 | self->marks = NULL; |
| 4593 | free(self->encoding); |
| 4594 | self->encoding = NULL; |
| 4595 | free(self->errors); |
| 4596 | self->errors = NULL; |
| 4597 | |
| 4598 | return 0; |
| 4599 | } |
| 4600 | |
| 4601 | PyDoc_STRVAR(Unpickler_doc, |
| 4602 | "Unpickler(file, *, encoding='ASCII', errors='strict')" |
| 4603 | "\n" |
| 4604 | "This takes a binary file for reading a pickle data stream.\n" |
| 4605 | "\n" |
| 4606 | "The protocol version of the pickle is detected automatically, so no\n" |
| 4607 | "proto argument is needed.\n" |
| 4608 | "\n" |
| 4609 | "The file-like object must have two methods, a read() method\n" |
| 4610 | "that takes an integer argument, and a readline() method that\n" |
| 4611 | "requires no arguments. Both methods should return bytes.\n" |
| 4612 | "Thus file-like object can be a binary file object opened for\n" |
| 4613 | "reading, a BytesIO object, or any other custom object that\n" |
| 4614 | "meets this interface.\n" |
| 4615 | "\n" |
Antoine Pitrou | d9dfaa9 | 2009-06-04 20:32:06 +0000 | [diff] [blame] | 4616 | "Optional keyword arguments are *fix_imports*, *encoding* and *errors*,\n" |
| 4617 | "which are used to control compatiblity support for pickle stream\n" |
| 4618 | "generated by Python 2.x. If *fix_imports* is True, pickle will try to\n" |
| 4619 | "map the old Python 2.x names to the new names used in Python 3.x. The\n" |
| 4620 | "*encoding* and *errors* tell pickle how to decode 8-bit string\n" |
| 4621 | "instances pickled by Python 2.x; these default to 'ASCII' and\n" |
| 4622 | "'strict', respectively.\n"); |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 4623 | |
| 4624 | static int |
| 4625 | Unpickler_init(UnpicklerObject *self, PyObject *args, PyObject *kwds) |
| 4626 | { |
Antoine Pitrou | d9dfaa9 | 2009-06-04 20:32:06 +0000 | [diff] [blame] | 4627 | static char *kwlist[] = {"file", "fix_imports", "encoding", "errors", 0}; |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 4628 | PyObject *file; |
Antoine Pitrou | d9dfaa9 | 2009-06-04 20:32:06 +0000 | [diff] [blame] | 4629 | int fix_imports = 1; |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 4630 | char *encoding = NULL; |
| 4631 | char *errors = NULL; |
| 4632 | |
| 4633 | /* XXX: That is an horrible error message. But, I don't know how to do |
| 4634 | better... */ |
| 4635 | if (Py_SIZE(args) != 1) { |
| 4636 | PyErr_Format(PyExc_TypeError, |
| 4637 | "%s takes exactly one positional argument (%zd given)", |
| 4638 | Py_TYPE(self)->tp_name, Py_SIZE(args)); |
| 4639 | return -1; |
| 4640 | } |
| 4641 | |
| 4642 | /* Arguments parsing needs to be done in the __init__() method to allow |
| 4643 | subclasses to define their own __init__() method, which may (or may |
| 4644 | not) support Unpickler arguments. However, this means we need to be |
| 4645 | extra careful in the other Unpickler methods, since a subclass could |
| 4646 | forget to call Unpickler.__init__() thus breaking our internal |
| 4647 | invariants. */ |
Antoine Pitrou | d9dfaa9 | 2009-06-04 20:32:06 +0000 | [diff] [blame] | 4648 | if (!PyArg_ParseTupleAndKeywords(args, kwds, "O|iss:Unpickler", kwlist, |
| 4649 | &file, &fix_imports, &encoding, &errors)) |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 4650 | return -1; |
| 4651 | |
| 4652 | /* In case of multiple __init__() calls, clear previous content. */ |
| 4653 | if (self->read != NULL) |
| 4654 | (void)Unpickler_clear(self); |
| 4655 | |
| 4656 | self->read = PyObject_GetAttrString(file, "read"); |
| 4657 | self->readline = PyObject_GetAttrString(file, "readline"); |
| 4658 | if (self->readline == NULL || self->read == NULL) |
| 4659 | return -1; |
| 4660 | |
| 4661 | if (encoding == NULL) |
| 4662 | encoding = "ASCII"; |
| 4663 | if (errors == NULL) |
| 4664 | errors = "strict"; |
| 4665 | |
| 4666 | self->encoding = strdup(encoding); |
| 4667 | self->errors = strdup(errors); |
| 4668 | if (self->encoding == NULL || self->errors == NULL) { |
| 4669 | PyErr_NoMemory(); |
| 4670 | return -1; |
| 4671 | } |
| 4672 | |
| 4673 | if (PyObject_HasAttrString((PyObject *)self, "persistent_load")) { |
| 4674 | self->pers_func = PyObject_GetAttrString((PyObject *)self, |
| 4675 | "persistent_load"); |
| 4676 | if (self->pers_func == NULL) |
| 4677 | return -1; |
| 4678 | } |
| 4679 | else { |
| 4680 | self->pers_func = NULL; |
| 4681 | } |
| 4682 | |
| 4683 | self->stack = (Pdata *)Pdata_New(); |
| 4684 | if (self->stack == NULL) |
| 4685 | return -1; |
| 4686 | |
| 4687 | self->memo = PyDict_New(); |
| 4688 | if (self->memo == NULL) |
| 4689 | return -1; |
| 4690 | |
Alexandre Vassalotti | 0e7aa8c | 2009-04-03 04:17:41 +0000 | [diff] [blame] | 4691 | self->last_string = NULL; |
| 4692 | self->arg = NULL; |
Antoine Pitrou | d9dfaa9 | 2009-06-04 20:32:06 +0000 | [diff] [blame] | 4693 | self->proto = 0; |
| 4694 | self->fix_imports = fix_imports; |
Alexandre Vassalotti | 0e7aa8c | 2009-04-03 04:17:41 +0000 | [diff] [blame] | 4695 | |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 4696 | return 0; |
| 4697 | } |
| 4698 | |
| 4699 | static PyObject * |
| 4700 | Unpickler_get_memo(UnpicklerObject *self) |
| 4701 | { |
| 4702 | if (self->memo == NULL) |
| 4703 | PyErr_SetString(PyExc_AttributeError, "memo"); |
| 4704 | else |
| 4705 | Py_INCREF(self->memo); |
| 4706 | return self->memo; |
| 4707 | } |
| 4708 | |
| 4709 | static int |
| 4710 | Unpickler_set_memo(UnpicklerObject *self, PyObject *value) |
| 4711 | { |
| 4712 | PyObject *tmp; |
| 4713 | |
| 4714 | if (value == NULL) { |
| 4715 | PyErr_SetString(PyExc_TypeError, |
| 4716 | "attribute deletion is not supported"); |
| 4717 | return -1; |
| 4718 | } |
| 4719 | if (!PyDict_Check(value)) { |
| 4720 | PyErr_SetString(PyExc_TypeError, "memo must be a dictionary"); |
| 4721 | return -1; |
| 4722 | } |
| 4723 | |
| 4724 | tmp = self->memo; |
| 4725 | Py_INCREF(value); |
| 4726 | self->memo = value; |
| 4727 | Py_XDECREF(tmp); |
| 4728 | |
| 4729 | return 0; |
| 4730 | } |
| 4731 | |
| 4732 | static PyObject * |
| 4733 | Unpickler_get_persload(UnpicklerObject *self) |
| 4734 | { |
| 4735 | if (self->pers_func == NULL) |
| 4736 | PyErr_SetString(PyExc_AttributeError, "persistent_load"); |
| 4737 | else |
| 4738 | Py_INCREF(self->pers_func); |
| 4739 | return self->pers_func; |
| 4740 | } |
| 4741 | |
| 4742 | static int |
| 4743 | Unpickler_set_persload(UnpicklerObject *self, PyObject *value) |
| 4744 | { |
| 4745 | PyObject *tmp; |
| 4746 | |
| 4747 | if (value == NULL) { |
| 4748 | PyErr_SetString(PyExc_TypeError, |
| 4749 | "attribute deletion is not supported"); |
| 4750 | return -1; |
| 4751 | } |
| 4752 | if (!PyCallable_Check(value)) { |
| 4753 | PyErr_SetString(PyExc_TypeError, |
| 4754 | "persistent_load must be a callable taking " |
| 4755 | "one argument"); |
| 4756 | return -1; |
| 4757 | } |
| 4758 | |
| 4759 | tmp = self->pers_func; |
| 4760 | Py_INCREF(value); |
| 4761 | self->pers_func = value; |
| 4762 | Py_XDECREF(tmp); /* self->pers_func can be NULL, so be careful. */ |
| 4763 | |
| 4764 | return 0; |
| 4765 | } |
| 4766 | |
| 4767 | static PyGetSetDef Unpickler_getsets[] = { |
| 4768 | {"memo", (getter)Unpickler_get_memo, (setter)Unpickler_set_memo}, |
| 4769 | {"persistent_load", (getter)Unpickler_get_persload, |
| 4770 | (setter)Unpickler_set_persload}, |
| 4771 | {NULL} |
| 4772 | }; |
| 4773 | |
| 4774 | static PyTypeObject Unpickler_Type = { |
| 4775 | PyVarObject_HEAD_INIT(NULL, 0) |
| 4776 | "_pickle.Unpickler", /*tp_name*/ |
| 4777 | sizeof(UnpicklerObject), /*tp_basicsize*/ |
| 4778 | 0, /*tp_itemsize*/ |
| 4779 | (destructor)Unpickler_dealloc, /*tp_dealloc*/ |
| 4780 | 0, /*tp_print*/ |
| 4781 | 0, /*tp_getattr*/ |
| 4782 | 0, /*tp_setattr*/ |
Mark Dickinson | e94c679 | 2009-02-02 20:36:42 +0000 | [diff] [blame] | 4783 | 0, /*tp_reserved*/ |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 4784 | 0, /*tp_repr*/ |
| 4785 | 0, /*tp_as_number*/ |
| 4786 | 0, /*tp_as_sequence*/ |
| 4787 | 0, /*tp_as_mapping*/ |
| 4788 | 0, /*tp_hash*/ |
| 4789 | 0, /*tp_call*/ |
| 4790 | 0, /*tp_str*/ |
| 4791 | 0, /*tp_getattro*/ |
| 4792 | 0, /*tp_setattro*/ |
| 4793 | 0, /*tp_as_buffer*/ |
| 4794 | Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE | Py_TPFLAGS_HAVE_GC, |
| 4795 | Unpickler_doc, /*tp_doc*/ |
| 4796 | (traverseproc)Unpickler_traverse, /*tp_traverse*/ |
| 4797 | (inquiry)Unpickler_clear, /*tp_clear*/ |
| 4798 | 0, /*tp_richcompare*/ |
| 4799 | 0, /*tp_weaklistoffset*/ |
| 4800 | 0, /*tp_iter*/ |
| 4801 | 0, /*tp_iternext*/ |
| 4802 | Unpickler_methods, /*tp_methods*/ |
| 4803 | 0, /*tp_members*/ |
| 4804 | Unpickler_getsets, /*tp_getset*/ |
| 4805 | 0, /*tp_base*/ |
| 4806 | 0, /*tp_dict*/ |
| 4807 | 0, /*tp_descr_get*/ |
| 4808 | 0, /*tp_descr_set*/ |
| 4809 | 0, /*tp_dictoffset*/ |
| 4810 | (initproc)Unpickler_init, /*tp_init*/ |
| 4811 | PyType_GenericAlloc, /*tp_alloc*/ |
| 4812 | PyType_GenericNew, /*tp_new*/ |
| 4813 | PyObject_GC_Del, /*tp_free*/ |
| 4814 | 0, /*tp_is_gc*/ |
| 4815 | }; |
| 4816 | |
| 4817 | static int |
Antoine Pitrou | d9dfaa9 | 2009-06-04 20:32:06 +0000 | [diff] [blame] | 4818 | initmodule(void) |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 4819 | { |
Antoine Pitrou | d9dfaa9 | 2009-06-04 20:32:06 +0000 | [diff] [blame] | 4820 | PyObject *copyreg = NULL; |
| 4821 | PyObject *compat_pickle = NULL; |
| 4822 | |
| 4823 | /* XXX: We should ensure that the types of the dictionaries imported are |
| 4824 | exactly PyDict objects. Otherwise, it is possible to crash the pickle |
| 4825 | since we use the PyDict API directly to access these dictionaries. */ |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 4826 | |
| 4827 | copyreg = PyImport_ImportModule("copyreg"); |
| 4828 | if (!copyreg) |
Antoine Pitrou | d9dfaa9 | 2009-06-04 20:32:06 +0000 | [diff] [blame] | 4829 | goto error; |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 4830 | dispatch_table = PyObject_GetAttrString(copyreg, "dispatch_table"); |
| 4831 | if (!dispatch_table) |
| 4832 | goto error; |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 4833 | extension_registry = \ |
| 4834 | PyObject_GetAttrString(copyreg, "_extension_registry"); |
| 4835 | if (!extension_registry) |
| 4836 | goto error; |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 4837 | inverted_registry = PyObject_GetAttrString(copyreg, "_inverted_registry"); |
| 4838 | if (!inverted_registry) |
| 4839 | goto error; |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 4840 | extension_cache = PyObject_GetAttrString(copyreg, "_extension_cache"); |
| 4841 | if (!extension_cache) |
| 4842 | goto error; |
Antoine Pitrou | d9dfaa9 | 2009-06-04 20:32:06 +0000 | [diff] [blame] | 4843 | Py_CLEAR(copyreg); |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 4844 | |
Antoine Pitrou | d9dfaa9 | 2009-06-04 20:32:06 +0000 | [diff] [blame] | 4845 | /* Load the 2.x -> 3.x stdlib module mapping tables */ |
| 4846 | compat_pickle = PyImport_ImportModule("_compat_pickle"); |
| 4847 | if (!compat_pickle) |
| 4848 | goto error; |
| 4849 | name_mapping_2to3 = PyObject_GetAttrString(compat_pickle, "NAME_MAPPING"); |
| 4850 | if (!name_mapping_2to3) |
| 4851 | goto error; |
| 4852 | if (!PyDict_CheckExact(name_mapping_2to3)) { |
| 4853 | PyErr_Format(PyExc_RuntimeError, |
| 4854 | "_compat_pickle.NAME_MAPPING should be a dict, not %.200s", |
| 4855 | Py_TYPE(name_mapping_2to3)->tp_name); |
| 4856 | goto error; |
| 4857 | } |
| 4858 | import_mapping_2to3 = PyObject_GetAttrString(compat_pickle, |
| 4859 | "IMPORT_MAPPING"); |
| 4860 | if (!import_mapping_2to3) |
| 4861 | goto error; |
| 4862 | if (!PyDict_CheckExact(import_mapping_2to3)) { |
| 4863 | PyErr_Format(PyExc_RuntimeError, |
| 4864 | "_compat_pickle.IMPORT_MAPPING should be a dict, " |
| 4865 | "not %.200s", Py_TYPE(import_mapping_2to3)->tp_name); |
| 4866 | goto error; |
| 4867 | } |
| 4868 | /* ... and the 3.x -> 2.x mapping tables */ |
| 4869 | name_mapping_3to2 = PyObject_GetAttrString(compat_pickle, |
| 4870 | "REVERSE_NAME_MAPPING"); |
| 4871 | if (!name_mapping_3to2) |
| 4872 | goto error; |
| 4873 | if (!PyDict_CheckExact(name_mapping_3to2)) { |
| 4874 | PyErr_Format(PyExc_RuntimeError, |
| 4875 | "_compat_pickle.REVERSE_NAME_MAPPING shouldbe a dict, " |
| 4876 | "not %.200s", Py_TYPE(name_mapping_3to2)->tp_name); |
| 4877 | goto error; |
| 4878 | } |
| 4879 | import_mapping_3to2 = PyObject_GetAttrString(compat_pickle, |
| 4880 | "REVERSE_IMPORT_MAPPING"); |
| 4881 | if (!import_mapping_3to2) |
| 4882 | goto error; |
| 4883 | if (!PyDict_CheckExact(import_mapping_3to2)) { |
| 4884 | PyErr_Format(PyExc_RuntimeError, |
| 4885 | "_compat_pickle.REVERSE_IMPORT_MAPPING should be a dict, " |
| 4886 | "not %.200s", Py_TYPE(import_mapping_3to2)->tp_name); |
| 4887 | goto error; |
| 4888 | } |
| 4889 | Py_CLEAR(compat_pickle); |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 4890 | |
| 4891 | empty_tuple = PyTuple_New(0); |
| 4892 | if (empty_tuple == NULL) |
Antoine Pitrou | d9dfaa9 | 2009-06-04 20:32:06 +0000 | [diff] [blame] | 4893 | goto error; |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 4894 | two_tuple = PyTuple_New(2); |
| 4895 | if (two_tuple == NULL) |
Antoine Pitrou | d9dfaa9 | 2009-06-04 20:32:06 +0000 | [diff] [blame] | 4896 | goto error; |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 4897 | /* We use this temp container with no regard to refcounts, or to |
| 4898 | * keeping containees alive. Exempt from GC, because we don't |
| 4899 | * want anything looking at two_tuple() by magic. |
| 4900 | */ |
| 4901 | PyObject_GC_UnTrack(two_tuple); |
| 4902 | |
| 4903 | return 0; |
| 4904 | |
| 4905 | error: |
Antoine Pitrou | d9dfaa9 | 2009-06-04 20:32:06 +0000 | [diff] [blame] | 4906 | Py_CLEAR(copyreg); |
| 4907 | Py_CLEAR(dispatch_table); |
| 4908 | Py_CLEAR(extension_registry); |
| 4909 | Py_CLEAR(inverted_registry); |
| 4910 | Py_CLEAR(extension_cache); |
| 4911 | Py_CLEAR(compat_pickle); |
| 4912 | Py_CLEAR(name_mapping_2to3); |
| 4913 | Py_CLEAR(import_mapping_2to3); |
| 4914 | Py_CLEAR(name_mapping_3to2); |
| 4915 | Py_CLEAR(import_mapping_3to2); |
| 4916 | Py_CLEAR(empty_tuple); |
| 4917 | Py_CLEAR(two_tuple); |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 4918 | return -1; |
| 4919 | } |
| 4920 | |
| 4921 | static struct PyModuleDef _picklemodule = { |
| 4922 | PyModuleDef_HEAD_INIT, |
| 4923 | "_pickle", |
| 4924 | pickle_module_doc, |
| 4925 | -1, |
| 4926 | NULL, |
| 4927 | NULL, |
| 4928 | NULL, |
| 4929 | NULL, |
| 4930 | NULL |
| 4931 | }; |
| 4932 | |
| 4933 | PyMODINIT_FUNC |
| 4934 | PyInit__pickle(void) |
| 4935 | { |
| 4936 | PyObject *m; |
| 4937 | |
| 4938 | if (PyType_Ready(&Unpickler_Type) < 0) |
| 4939 | return NULL; |
| 4940 | if (PyType_Ready(&Pickler_Type) < 0) |
| 4941 | return NULL; |
| 4942 | if (PyType_Ready(&Pdata_Type) < 0) |
| 4943 | return NULL; |
| 4944 | |
| 4945 | /* Create the module and add the functions. */ |
| 4946 | m = PyModule_Create(&_picklemodule); |
| 4947 | if (m == NULL) |
| 4948 | return NULL; |
| 4949 | |
| 4950 | if (PyModule_AddObject(m, "Pickler", (PyObject *)&Pickler_Type) < 0) |
| 4951 | return NULL; |
| 4952 | if (PyModule_AddObject(m, "Unpickler", (PyObject *)&Unpickler_Type) < 0) |
| 4953 | return NULL; |
| 4954 | |
| 4955 | /* Initialize the exceptions. */ |
| 4956 | PickleError = PyErr_NewException("_pickle.PickleError", NULL, NULL); |
| 4957 | if (PickleError == NULL) |
| 4958 | return NULL; |
| 4959 | PicklingError = \ |
| 4960 | PyErr_NewException("_pickle.PicklingError", PickleError, NULL); |
| 4961 | if (PicklingError == NULL) |
| 4962 | return NULL; |
| 4963 | UnpicklingError = \ |
| 4964 | PyErr_NewException("_pickle.UnpicklingError", PickleError, NULL); |
| 4965 | if (UnpicklingError == NULL) |
| 4966 | return NULL; |
| 4967 | |
| 4968 | if (PyModule_AddObject(m, "PickleError", PickleError) < 0) |
| 4969 | return NULL; |
| 4970 | if (PyModule_AddObject(m, "PicklingError", PicklingError) < 0) |
| 4971 | return NULL; |
| 4972 | if (PyModule_AddObject(m, "UnpicklingError", UnpicklingError) < 0) |
| 4973 | return NULL; |
| 4974 | |
Antoine Pitrou | d9dfaa9 | 2009-06-04 20:32:06 +0000 | [diff] [blame] | 4975 | if (initmodule() < 0) |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 4976 | return NULL; |
| 4977 | |
| 4978 | return m; |
| 4979 | } |