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. */ |
| 106 | static PyObject *PickleError; |
| 107 | static PyObject *PicklingError; |
| 108 | static PyObject *UnpicklingError; |
| 109 | |
| 110 | /* copyreg.dispatch_table, {type_object: pickling_function} */ |
| 111 | static PyObject *dispatch_table; |
| 112 | /* For EXT[124] opcodes. */ |
| 113 | /* copyreg._extension_registry, {(module_name, function_name): code} */ |
| 114 | static PyObject *extension_registry; |
| 115 | /* copyreg._inverted_registry, {code: (module_name, function_name)} */ |
| 116 | static PyObject *inverted_registry; |
| 117 | /* copyreg._extension_cache, {code: object} */ |
| 118 | static PyObject *extension_cache; |
| 119 | |
| 120 | /* XXX: Are these really nescessary? */ |
| 121 | /* As the name says, an empty tuple. */ |
| 122 | static PyObject *empty_tuple; |
| 123 | /* For looking up name pairs in copyreg._extension_registry. */ |
| 124 | static PyObject *two_tuple; |
| 125 | |
| 126 | static int |
| 127 | stack_underflow(void) |
| 128 | { |
| 129 | PyErr_SetString(UnpicklingError, "unpickling stack underflow"); |
| 130 | return -1; |
| 131 | } |
| 132 | |
| 133 | /* Internal data type used as the unpickling stack. */ |
| 134 | typedef struct { |
| 135 | PyObject_HEAD |
| 136 | int length; /* number of initial slots in data currently used */ |
| 137 | int size; /* number of slots in data allocated */ |
| 138 | PyObject **data; |
| 139 | } Pdata; |
| 140 | |
| 141 | static void |
| 142 | Pdata_dealloc(Pdata *self) |
| 143 | { |
| 144 | int i; |
| 145 | PyObject **p; |
| 146 | |
| 147 | for (i = self->length, p = self->data; --i >= 0; p++) { |
| 148 | Py_DECREF(*p); |
| 149 | } |
| 150 | if (self->data) |
| 151 | PyMem_Free(self->data); |
| 152 | PyObject_Del(self); |
| 153 | } |
| 154 | |
| 155 | static PyTypeObject Pdata_Type = { |
| 156 | PyVarObject_HEAD_INIT(NULL, 0) |
| 157 | "_pickle.Pdata", /*tp_name*/ |
| 158 | sizeof(Pdata), /*tp_basicsize*/ |
| 159 | 0, /*tp_itemsize*/ |
| 160 | (destructor)Pdata_dealloc, /*tp_dealloc*/ |
| 161 | }; |
| 162 | |
| 163 | static PyObject * |
| 164 | Pdata_New(void) |
| 165 | { |
| 166 | Pdata *self; |
| 167 | |
| 168 | if (!(self = PyObject_New(Pdata, &Pdata_Type))) |
| 169 | return NULL; |
| 170 | self->size = 8; |
| 171 | self->length = 0; |
| 172 | self->data = PyMem_Malloc(self->size * sizeof(PyObject *)); |
| 173 | if (self->data) |
| 174 | return (PyObject *)self; |
| 175 | Py_DECREF(self); |
| 176 | return PyErr_NoMemory(); |
| 177 | } |
| 178 | |
| 179 | |
| 180 | /* Retain only the initial clearto items. If clearto >= the current |
| 181 | * number of items, this is a (non-erroneous) NOP. |
| 182 | */ |
| 183 | static int |
| 184 | Pdata_clear(Pdata *self, int clearto) |
| 185 | { |
| 186 | int i; |
| 187 | PyObject **p; |
| 188 | |
| 189 | if (clearto < 0) |
| 190 | return stack_underflow(); |
| 191 | if (clearto >= self->length) |
| 192 | return 0; |
| 193 | |
| 194 | for (i = self->length, p = self->data + clearto; --i >= clearto; p++) { |
| 195 | Py_CLEAR(*p); |
| 196 | } |
| 197 | self->length = clearto; |
| 198 | |
| 199 | return 0; |
| 200 | } |
| 201 | |
| 202 | static int |
| 203 | Pdata_grow(Pdata *self) |
| 204 | { |
| 205 | int bigger; |
| 206 | size_t nbytes; |
| 207 | PyObject **tmp; |
| 208 | |
| 209 | bigger = (self->size << 1) + 1; |
| 210 | if (bigger <= 0) /* was 0, or new value overflows */ |
| 211 | goto nomemory; |
| 212 | if ((int)(size_t)bigger != bigger) |
| 213 | goto nomemory; |
| 214 | nbytes = (size_t)bigger * sizeof(PyObject *); |
| 215 | if (nbytes / sizeof(PyObject *) != (size_t)bigger) |
| 216 | goto nomemory; |
| 217 | tmp = PyMem_Realloc(self->data, nbytes); |
| 218 | if (tmp == NULL) |
| 219 | goto nomemory; |
| 220 | self->data = tmp; |
| 221 | self->size = bigger; |
| 222 | return 0; |
| 223 | |
| 224 | nomemory: |
| 225 | PyErr_NoMemory(); |
| 226 | return -1; |
| 227 | } |
| 228 | |
| 229 | /* D is a Pdata*. Pop the topmost element and store it into V, which |
| 230 | * must be an lvalue holding PyObject*. On stack underflow, UnpicklingError |
| 231 | * is raised and V is set to NULL. |
| 232 | */ |
| 233 | static PyObject * |
| 234 | Pdata_pop(Pdata *self) |
| 235 | { |
| 236 | if (self->length == 0) { |
| 237 | PyErr_SetString(UnpicklingError, "bad pickle data"); |
| 238 | return NULL; |
| 239 | } |
| 240 | return self->data[--(self->length)]; |
| 241 | } |
| 242 | #define PDATA_POP(D, V) do { (V) = Pdata_pop((D)); } while (0) |
| 243 | |
| 244 | static int |
| 245 | Pdata_push(Pdata *self, PyObject *obj) |
| 246 | { |
| 247 | if (self->length == self->size && Pdata_grow(self) < 0) { |
| 248 | return -1; |
| 249 | } |
| 250 | self->data[self->length++] = obj; |
| 251 | return 0; |
| 252 | } |
| 253 | |
| 254 | /* Push an object on stack, transferring its ownership to the stack. */ |
| 255 | #define PDATA_PUSH(D, O, ER) do { \ |
| 256 | if (Pdata_push((D), (O)) < 0) return (ER); } while(0) |
| 257 | |
| 258 | /* Push an object on stack, adding a new reference to the object. */ |
| 259 | #define PDATA_APPEND(D, O, ER) do { \ |
| 260 | Py_INCREF((O)); \ |
| 261 | if (Pdata_push((D), (O)) < 0) return (ER); } while(0) |
| 262 | |
| 263 | static PyObject * |
| 264 | Pdata_poptuple(Pdata *self, Py_ssize_t start) |
| 265 | { |
| 266 | PyObject *tuple; |
| 267 | Py_ssize_t len, i, j; |
| 268 | |
| 269 | len = self->length - start; |
| 270 | tuple = PyTuple_New(len); |
| 271 | if (tuple == NULL) |
| 272 | return NULL; |
| 273 | for (i = start, j = 0; j < len; i++, j++) |
| 274 | PyTuple_SET_ITEM(tuple, j, self->data[i]); |
| 275 | |
| 276 | self->length = start; |
| 277 | return tuple; |
| 278 | } |
| 279 | |
| 280 | static PyObject * |
| 281 | Pdata_poplist(Pdata *self, Py_ssize_t start) |
| 282 | { |
| 283 | PyObject *list; |
| 284 | Py_ssize_t len, i, j; |
| 285 | |
| 286 | len = self->length - start; |
| 287 | list = PyList_New(len); |
| 288 | if (list == NULL) |
| 289 | return NULL; |
| 290 | for (i = start, j = 0; j < len; i++, j++) |
| 291 | PyList_SET_ITEM(list, j, self->data[i]); |
| 292 | |
| 293 | self->length = start; |
| 294 | return list; |
| 295 | } |
| 296 | |
| 297 | typedef struct PicklerObject { |
| 298 | PyObject_HEAD |
| 299 | PyObject *write; /* write() method of the output stream */ |
| 300 | PyObject *memo; /* Memo dictionary, keep track of the seen |
| 301 | objects to support self-referential objects |
| 302 | pickling. */ |
| 303 | PyObject *pers_func; /* persistent_id() method, can be NULL */ |
| 304 | PyObject *arg; |
| 305 | int proto; /* Pickle protocol number, >= 0 */ |
| 306 | int bin; /* Boolean, true if proto > 0 */ |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 307 | int buf_size; /* Size of the current buffered pickle data */ |
| 308 | char *write_buf; /* Write buffer, this is to avoid calling the |
| 309 | write() method of the output stream too |
| 310 | often. */ |
| 311 | int fast; /* Enable fast mode if set to a true value. |
| 312 | The fast mode disable the usage of memo, |
| 313 | therefore speeding the pickling process by |
| 314 | not generating superfluous PUT opcodes. It |
| 315 | should not be used if with self-referential |
| 316 | objects. */ |
| 317 | int fast_nesting; |
| 318 | PyObject *fast_memo; |
| 319 | } PicklerObject; |
| 320 | |
| 321 | typedef struct UnpicklerObject { |
| 322 | PyObject_HEAD |
| 323 | Pdata *stack; /* Pickle data stack, store unpickled objects. */ |
| 324 | PyObject *readline; /* readline() method of the output stream */ |
| 325 | PyObject *read; /* read() method of the output stream */ |
| 326 | PyObject *memo; /* Memo dictionary, provide the objects stored |
| 327 | using the PUT opcodes. */ |
| 328 | PyObject *arg; |
| 329 | PyObject *pers_func; /* persistent_load() method, can be NULL. */ |
| 330 | PyObject *last_string; /* Reference to the last string read by the |
| 331 | readline() method. */ |
| 332 | char *buffer; /* Reading buffer. */ |
| 333 | char *encoding; /* Name of the encoding to be used for |
| 334 | decoding strings pickled using Python |
| 335 | 2.x. The default value is "ASCII" */ |
| 336 | char *errors; /* Name of errors handling scheme to used when |
| 337 | decoding strings. The default value is |
| 338 | "strict". */ |
| 339 | int *marks; /* Mark stack, used for unpickling container |
| 340 | objects. */ |
| 341 | Py_ssize_t num_marks; /* Number of marks in the mark stack. */ |
| 342 | Py_ssize_t marks_size; /* Current allocated size of the mark stack. */ |
| 343 | } UnpicklerObject; |
| 344 | |
| 345 | /* Forward declarations */ |
| 346 | static int save(PicklerObject *, PyObject *, int); |
| 347 | static int save_reduce(PicklerObject *, PyObject *, PyObject *); |
| 348 | static PyTypeObject Pickler_Type; |
| 349 | static PyTypeObject Unpickler_Type; |
| 350 | |
| 351 | |
| 352 | /* Helpers for creating the argument tuple passed to functions. This has the |
| 353 | performance advantage of calling PyTuple_New() only once. */ |
| 354 | |
| 355 | #define ARG_TUP(self, obj) do { \ |
| 356 | if ((self)->arg || ((self)->arg=PyTuple_New(1))) { \ |
| 357 | Py_XDECREF(PyTuple_GET_ITEM((self)->arg, 0)); \ |
| 358 | PyTuple_SET_ITEM((self)->arg, 0, (obj)); \ |
| 359 | } \ |
| 360 | else { \ |
| 361 | Py_DECREF((obj)); \ |
| 362 | } \ |
| 363 | } while (0) |
| 364 | |
| 365 | #define FREE_ARG_TUP(self) do { \ |
| 366 | if ((self)->arg->ob_refcnt > 1) \ |
| 367 | Py_CLEAR((self)->arg); \ |
| 368 | } while (0) |
| 369 | |
| 370 | /* A temporary cleaner API for fast single argument function call. |
| 371 | |
| 372 | XXX: Does caching the argument tuple provides any real performance benefits? |
| 373 | |
| 374 | A quick benchmark, on a 2.0GHz Athlon64 3200+ running Linux 2.6.24 with |
| 375 | glibc 2.7, tells me that it takes roughly 20,000,000 PyTuple_New(1) calls |
| 376 | when the tuple is retrieved from the freelist (i.e, call PyTuple_New() then |
| 377 | immediately DECREF it) and 1,200,000 calls when allocating brand new tuples |
| 378 | (i.e, call PyTuple_New() and store the returned value in an array), to save |
| 379 | one second (wall clock time). Either ways, the loading time a pickle stream |
| 380 | large enough to generate this number of calls would be massively |
| 381 | overwhelmed by other factors, like I/O throughput, the GC traversal and |
| 382 | object allocation overhead. So, I really doubt these functions provide any |
| 383 | real benefits. |
| 384 | |
| 385 | On the other hand, oprofile reports that pickle spends a lot of time in |
| 386 | these functions. But, that is probably more related to the function call |
| 387 | overhead, than the argument tuple allocation. |
| 388 | |
| 389 | XXX: And, what is the reference behavior of these? Steal, borrow? At first |
| 390 | glance, it seems to steal the reference of 'arg' and borrow the reference |
| 391 | of 'func'. |
| 392 | */ |
| 393 | static PyObject * |
| 394 | pickler_call(PicklerObject *self, PyObject *func, PyObject *arg) |
| 395 | { |
| 396 | PyObject *result = NULL; |
| 397 | |
| 398 | ARG_TUP(self, arg); |
| 399 | if (self->arg) { |
| 400 | result = PyObject_Call(func, self->arg, NULL); |
| 401 | FREE_ARG_TUP(self); |
| 402 | } |
| 403 | return result; |
| 404 | } |
| 405 | |
| 406 | static PyObject * |
| 407 | unpickler_call(UnpicklerObject *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 Py_ssize_t |
| 420 | pickler_write(PicklerObject *self, const char *s, Py_ssize_t n) |
| 421 | { |
| 422 | PyObject *data, *result; |
| 423 | |
Amaury Forgeot d'Arc | 87eee63 | 2008-10-17 20:15:53 +0000 | [diff] [blame] | 424 | if (self->write_buf == NULL) { |
| 425 | PyErr_SetString(PyExc_SystemError, "invalid write buffer"); |
| 426 | return -1; |
| 427 | } |
| 428 | |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 429 | if (s == NULL) { |
| 430 | if (!(self->buf_size)) |
| 431 | return 0; |
| 432 | data = PyBytes_FromStringAndSize(self->write_buf, self->buf_size); |
| 433 | if (data == NULL) |
| 434 | return -1; |
| 435 | } |
| 436 | else { |
| 437 | if (self->buf_size && (n + self->buf_size) > WRITE_BUF_SIZE) { |
| 438 | if (pickler_write(self, NULL, 0) < 0) |
| 439 | return -1; |
| 440 | } |
| 441 | |
| 442 | if (n > WRITE_BUF_SIZE) { |
| 443 | if (!(data = PyBytes_FromStringAndSize(s, n))) |
| 444 | return -1; |
| 445 | } |
| 446 | else { |
| 447 | memcpy(self->write_buf + self->buf_size, s, n); |
| 448 | self->buf_size += n; |
| 449 | return n; |
| 450 | } |
| 451 | } |
| 452 | |
| 453 | /* object with write method */ |
| 454 | result = pickler_call(self, self->write, data); |
| 455 | if (result == NULL) |
| 456 | return -1; |
| 457 | |
| 458 | Py_DECREF(result); |
| 459 | self->buf_size = 0; |
| 460 | return n; |
| 461 | } |
| 462 | |
| 463 | /* XXX: These read/readline functions ought to be optimized. Buffered I/O |
| 464 | might help a lot, especially with the new (but much slower) io library. |
| 465 | On the other hand, the added complexity might not worth it. |
| 466 | */ |
| 467 | |
| 468 | /* Read at least n characters from the input stream and set s to the current |
| 469 | reading position. */ |
| 470 | static Py_ssize_t |
| 471 | unpickler_read(UnpicklerObject *self, char **s, Py_ssize_t n) |
| 472 | { |
| 473 | PyObject *len; |
| 474 | PyObject *data; |
| 475 | |
| 476 | len = PyLong_FromSsize_t(n); |
| 477 | if (len == NULL) |
| 478 | return -1; |
| 479 | |
| 480 | data = unpickler_call(self, self->read, len); |
| 481 | if (data == NULL) |
| 482 | return -1; |
| 483 | |
| 484 | /* XXX: Should bytearray be supported too? */ |
| 485 | if (!PyBytes_Check(data)) { |
| 486 | PyErr_SetString(PyExc_ValueError, |
| 487 | "read() from the underlying stream did not" |
| 488 | "return bytes"); |
Amaury Forgeot d'Arc | 5f95257 | 2008-11-25 21:11:54 +0000 | [diff] [blame] | 489 | Py_DECREF(data); |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 490 | return -1; |
| 491 | } |
| 492 | |
Amaury Forgeot d'Arc | 3e4e72f | 2008-11-11 20:05:06 +0000 | [diff] [blame] | 493 | if (PyBytes_GET_SIZE(data) != n) { |
| 494 | PyErr_SetNone(PyExc_EOFError); |
Amaury Forgeot d'Arc | 5f95257 | 2008-11-25 21:11:54 +0000 | [diff] [blame] | 495 | Py_DECREF(data); |
Amaury Forgeot d'Arc | 3e4e72f | 2008-11-11 20:05:06 +0000 | [diff] [blame] | 496 | return -1; |
| 497 | } |
| 498 | |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 499 | Py_XDECREF(self->last_string); |
| 500 | self->last_string = data; |
| 501 | |
| 502 | if (!(*s = PyBytes_AS_STRING(data))) |
| 503 | return -1; |
| 504 | |
| 505 | return n; |
| 506 | } |
| 507 | |
| 508 | static Py_ssize_t |
| 509 | unpickler_readline(UnpicklerObject *self, char **s) |
| 510 | { |
| 511 | PyObject *data; |
| 512 | |
| 513 | data = PyObject_CallObject(self->readline, empty_tuple); |
| 514 | if (data == NULL) |
| 515 | return -1; |
| 516 | |
| 517 | /* XXX: Should bytearray be supported too? */ |
| 518 | if (!PyBytes_Check(data)) { |
| 519 | PyErr_SetString(PyExc_ValueError, |
| 520 | "readline() from the underlying stream did not" |
| 521 | "return bytes"); |
| 522 | return -1; |
| 523 | } |
| 524 | |
| 525 | Py_XDECREF(self->last_string); |
| 526 | self->last_string = data; |
| 527 | |
| 528 | if (!(*s = PyBytes_AS_STRING(data))) |
| 529 | return -1; |
| 530 | |
| 531 | return PyBytes_GET_SIZE(data); |
| 532 | } |
| 533 | |
| 534 | /* Generate a GET opcode for an object stored in the memo. The 'key' argument |
| 535 | should be the address of the object as returned by PyLong_FromVoidPtr(). */ |
| 536 | static int |
| 537 | memo_get(PicklerObject *self, PyObject *key) |
| 538 | { |
| 539 | PyObject *value; |
| 540 | PyObject *memo_id; |
| 541 | long x; |
| 542 | char pdata[30]; |
| 543 | int len; |
| 544 | |
| 545 | value = PyDict_GetItemWithError(self->memo, key); |
| 546 | if (value == NULL) { |
| 547 | if (!PyErr_Occurred()) |
| 548 | PyErr_SetObject(PyExc_KeyError, key); |
| 549 | return -1; |
| 550 | } |
| 551 | |
| 552 | memo_id = PyTuple_GetItem(value, 0); |
| 553 | if (memo_id == NULL) |
| 554 | return -1; |
| 555 | |
| 556 | if (!PyLong_Check(memo_id)) { |
| 557 | PyErr_SetString(PicklingError, "memo id must be an integer"); |
| 558 | return -1; |
| 559 | } |
| 560 | x = PyLong_AsLong(memo_id); |
| 561 | if (x == -1 && PyErr_Occurred()) |
| 562 | return -1; |
| 563 | |
| 564 | if (!self->bin) { |
| 565 | pdata[0] = GET; |
| 566 | PyOS_snprintf(pdata + 1, sizeof(pdata) - 1, "%ld\n", x); |
| 567 | len = (int)strlen(pdata); |
| 568 | } |
| 569 | else { |
| 570 | if (x < 256) { |
| 571 | pdata[0] = BINGET; |
| 572 | pdata[1] = (unsigned char)(x & 0xff); |
| 573 | len = 2; |
| 574 | } |
| 575 | else if (x <= 0xffffffffL) { |
| 576 | pdata[0] = LONG_BINGET; |
| 577 | pdata[1] = (unsigned char)(x & 0xff); |
| 578 | pdata[2] = (unsigned char)((x >> 8) & 0xff); |
| 579 | pdata[3] = (unsigned char)((x >> 16) & 0xff); |
| 580 | pdata[4] = (unsigned char)((x >> 24) & 0xff); |
| 581 | len = 5; |
| 582 | } |
| 583 | else { /* unlikely */ |
| 584 | PyErr_SetString(PicklingError, |
| 585 | "memo id too large for LONG_BINGET"); |
| 586 | return -1; |
| 587 | } |
| 588 | } |
| 589 | |
| 590 | if (pickler_write(self, pdata, len) < 0) |
| 591 | return -1; |
| 592 | |
| 593 | return 0; |
| 594 | } |
| 595 | |
| 596 | /* Store an object in the memo, assign it a new unique ID based on the number |
| 597 | of objects currently stored in the memo and generate a PUT opcode. */ |
| 598 | static int |
| 599 | memo_put(PicklerObject *self, PyObject *obj) |
| 600 | { |
| 601 | PyObject *key = NULL; |
| 602 | PyObject *memo_id = NULL; |
| 603 | PyObject *tuple = NULL; |
| 604 | long x; |
| 605 | char pdata[30]; |
| 606 | int len; |
| 607 | int status = 0; |
| 608 | |
| 609 | if (self->fast) |
| 610 | return 0; |
| 611 | |
| 612 | key = PyLong_FromVoidPtr(obj); |
| 613 | if (key == NULL) |
| 614 | goto error; |
| 615 | if ((x = PyDict_Size(self->memo)) < 0) |
| 616 | goto error; |
| 617 | memo_id = PyLong_FromLong(x); |
| 618 | if (memo_id == NULL) |
| 619 | goto error; |
| 620 | tuple = PyTuple_New(2); |
| 621 | if (tuple == NULL) |
| 622 | goto error; |
| 623 | |
| 624 | Py_INCREF(memo_id); |
| 625 | PyTuple_SET_ITEM(tuple, 0, memo_id); |
| 626 | Py_INCREF(obj); |
| 627 | PyTuple_SET_ITEM(tuple, 1, obj); |
| 628 | if (PyDict_SetItem(self->memo, key, tuple) < 0) |
| 629 | goto error; |
| 630 | |
| 631 | if (!self->bin) { |
| 632 | pdata[0] = PUT; |
| 633 | PyOS_snprintf(pdata + 1, sizeof(pdata) - 1, "%ld\n", x); |
| 634 | len = strlen(pdata); |
| 635 | } |
| 636 | else { |
| 637 | if (x < 256) { |
| 638 | pdata[0] = BINPUT; |
Alexandre Vassalotti | 7634ff5 | 2008-06-13 02:16:06 +0000 | [diff] [blame] | 639 | pdata[1] = (unsigned char)x; |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 640 | len = 2; |
| 641 | } |
| 642 | else if (x <= 0xffffffffL) { |
| 643 | pdata[0] = LONG_BINPUT; |
| 644 | pdata[1] = (unsigned char)(x & 0xff); |
| 645 | pdata[2] = (unsigned char)((x >> 8) & 0xff); |
| 646 | pdata[3] = (unsigned char)((x >> 16) & 0xff); |
| 647 | pdata[4] = (unsigned char)((x >> 24) & 0xff); |
| 648 | len = 5; |
| 649 | } |
| 650 | else { /* unlikely */ |
| 651 | PyErr_SetString(PicklingError, |
| 652 | "memo id too large for LONG_BINPUT"); |
| 653 | return -1; |
| 654 | } |
| 655 | } |
| 656 | |
| 657 | if (pickler_write(self, pdata, len) < 0) |
| 658 | goto error; |
| 659 | |
| 660 | if (0) { |
| 661 | error: |
| 662 | status = -1; |
| 663 | } |
| 664 | |
| 665 | Py_XDECREF(key); |
| 666 | Py_XDECREF(memo_id); |
| 667 | Py_XDECREF(tuple); |
| 668 | |
| 669 | return status; |
| 670 | } |
| 671 | |
| 672 | static PyObject * |
| 673 | whichmodule(PyObject *global, PyObject *global_name) |
| 674 | { |
| 675 | Py_ssize_t i, j; |
| 676 | static PyObject *module_str = NULL; |
| 677 | static PyObject *main_str = NULL; |
| 678 | PyObject *module_name; |
| 679 | PyObject *modules_dict; |
| 680 | PyObject *module; |
| 681 | PyObject *obj; |
| 682 | |
| 683 | if (module_str == NULL) { |
| 684 | module_str = PyUnicode_InternFromString("__module__"); |
| 685 | if (module_str == NULL) |
| 686 | return NULL; |
| 687 | main_str = PyUnicode_InternFromString("__main__"); |
| 688 | if (main_str == NULL) |
| 689 | return NULL; |
| 690 | } |
| 691 | |
| 692 | module_name = PyObject_GetAttr(global, module_str); |
| 693 | |
| 694 | /* In some rare cases (e.g., random.getrandbits), __module__ can be |
| 695 | None. If it is so, then search sys.modules for the module of |
| 696 | global. */ |
| 697 | if (module_name == Py_None) { |
| 698 | Py_DECREF(module_name); |
| 699 | goto search; |
| 700 | } |
| 701 | |
| 702 | if (module_name) { |
| 703 | return module_name; |
| 704 | } |
| 705 | if (PyErr_ExceptionMatches(PyExc_AttributeError)) |
| 706 | PyErr_Clear(); |
| 707 | else |
| 708 | return NULL; |
| 709 | |
| 710 | search: |
| 711 | modules_dict = PySys_GetObject("modules"); |
| 712 | if (modules_dict == NULL) |
| 713 | return NULL; |
| 714 | |
| 715 | i = 0; |
| 716 | module_name = NULL; |
| 717 | while ((j = PyDict_Next(modules_dict, &i, &module_name, &module))) { |
Mark Dickinson | 211c625 | 2009-02-01 10:28:51 +0000 | [diff] [blame] | 718 | if (PyObject_RichCompareBool(module_name, main_str, Py_EQ) == 1) |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 719 | continue; |
| 720 | |
| 721 | obj = PyObject_GetAttr(module, global_name); |
| 722 | if (obj == NULL) { |
| 723 | if (PyErr_ExceptionMatches(PyExc_AttributeError)) |
| 724 | PyErr_Clear(); |
| 725 | else |
| 726 | return NULL; |
| 727 | continue; |
| 728 | } |
| 729 | |
| 730 | if (obj != global) { |
| 731 | Py_DECREF(obj); |
| 732 | continue; |
| 733 | } |
| 734 | |
| 735 | Py_DECREF(obj); |
| 736 | break; |
| 737 | } |
| 738 | |
| 739 | /* If no module is found, use __main__. */ |
| 740 | if (!j) { |
| 741 | module_name = main_str; |
| 742 | } |
| 743 | |
| 744 | Py_INCREF(module_name); |
| 745 | return module_name; |
| 746 | } |
| 747 | |
| 748 | /* fast_save_enter() and fast_save_leave() are guards against recursive |
| 749 | objects when Pickler is used with the "fast mode" (i.e., with object |
| 750 | memoization disabled). If the nesting of a list or dict object exceed |
| 751 | FAST_NESTING_LIMIT, these guards will start keeping an internal |
| 752 | reference to the seen list or dict objects and check whether these objects |
| 753 | are recursive. These are not strictly necessary, since save() has a |
| 754 | hard-coded recursion limit, but they give a nicer error message than the |
| 755 | typical RuntimeError. */ |
| 756 | static int |
| 757 | fast_save_enter(PicklerObject *self, PyObject *obj) |
| 758 | { |
| 759 | /* if fast_nesting < 0, we're doing an error exit. */ |
| 760 | if (++self->fast_nesting >= FAST_NESTING_LIMIT) { |
| 761 | PyObject *key = NULL; |
| 762 | if (self->fast_memo == NULL) { |
| 763 | self->fast_memo = PyDict_New(); |
| 764 | if (self->fast_memo == NULL) { |
| 765 | self->fast_nesting = -1; |
| 766 | return 0; |
| 767 | } |
| 768 | } |
| 769 | key = PyLong_FromVoidPtr(obj); |
| 770 | if (key == NULL) |
| 771 | return 0; |
| 772 | if (PyDict_GetItem(self->fast_memo, key)) { |
| 773 | Py_DECREF(key); |
| 774 | PyErr_Format(PyExc_ValueError, |
| 775 | "fast mode: can't pickle cyclic objects " |
| 776 | "including object type %.200s at %p", |
| 777 | obj->ob_type->tp_name, obj); |
| 778 | self->fast_nesting = -1; |
| 779 | return 0; |
| 780 | } |
| 781 | if (PyDict_SetItem(self->fast_memo, key, Py_None) < 0) { |
| 782 | Py_DECREF(key); |
| 783 | self->fast_nesting = -1; |
| 784 | return 0; |
| 785 | } |
| 786 | Py_DECREF(key); |
| 787 | } |
| 788 | return 1; |
| 789 | } |
| 790 | |
| 791 | static int |
| 792 | fast_save_leave(PicklerObject *self, PyObject *obj) |
| 793 | { |
| 794 | if (self->fast_nesting-- >= FAST_NESTING_LIMIT) { |
| 795 | PyObject *key = PyLong_FromVoidPtr(obj); |
| 796 | if (key == NULL) |
| 797 | return 0; |
| 798 | if (PyDict_DelItem(self->fast_memo, key) < 0) { |
| 799 | Py_DECREF(key); |
| 800 | return 0; |
| 801 | } |
| 802 | Py_DECREF(key); |
| 803 | } |
| 804 | return 1; |
| 805 | } |
| 806 | |
| 807 | static int |
| 808 | save_none(PicklerObject *self, PyObject *obj) |
| 809 | { |
| 810 | const char none_op = NONE; |
| 811 | if (pickler_write(self, &none_op, 1) < 0) |
| 812 | return -1; |
| 813 | |
| 814 | return 0; |
| 815 | } |
| 816 | |
| 817 | static int |
| 818 | save_bool(PicklerObject *self, PyObject *obj) |
| 819 | { |
| 820 | static const char *buf[2] = { FALSE, TRUE }; |
| 821 | const char len[2] = {sizeof(FALSE) - 1, sizeof(TRUE) - 1}; |
| 822 | int p = (obj == Py_True); |
| 823 | |
| 824 | if (self->proto >= 2) { |
| 825 | const char bool_op = p ? NEWTRUE : NEWFALSE; |
| 826 | if (pickler_write(self, &bool_op, 1) < 0) |
| 827 | return -1; |
| 828 | } |
| 829 | else if (pickler_write(self, buf[p], len[p]) < 0) |
| 830 | return -1; |
| 831 | |
| 832 | return 0; |
| 833 | } |
| 834 | |
| 835 | static int |
| 836 | save_int(PicklerObject *self, long x) |
| 837 | { |
| 838 | char pdata[32]; |
| 839 | int len = 0; |
| 840 | |
| 841 | if (!self->bin |
| 842 | #if SIZEOF_LONG > 4 |
| 843 | || x > 0x7fffffffL || x < -0x80000000L |
| 844 | #endif |
| 845 | ) { |
| 846 | /* Text-mode pickle, or long too big to fit in the 4-byte |
| 847 | * signed BININT format: store as a string. |
| 848 | */ |
Mark Dickinson | 8dd0514 | 2009-01-20 20:43:58 +0000 | [diff] [blame] | 849 | pdata[0] = LONG; /* use LONG for consistency with pickle.py */ |
| 850 | PyOS_snprintf(pdata + 1, sizeof(pdata) - 1, "%ldL\n", x); |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 851 | if (pickler_write(self, pdata, strlen(pdata)) < 0) |
| 852 | return -1; |
| 853 | } |
| 854 | else { |
| 855 | /* Binary pickle and x fits in a signed 4-byte int. */ |
| 856 | pdata[1] = (unsigned char)(x & 0xff); |
| 857 | pdata[2] = (unsigned char)((x >> 8) & 0xff); |
| 858 | pdata[3] = (unsigned char)((x >> 16) & 0xff); |
| 859 | pdata[4] = (unsigned char)((x >> 24) & 0xff); |
| 860 | |
| 861 | if ((pdata[4] == 0) && (pdata[3] == 0)) { |
| 862 | if (pdata[2] == 0) { |
| 863 | pdata[0] = BININT1; |
| 864 | len = 2; |
| 865 | } |
| 866 | else { |
| 867 | pdata[0] = BININT2; |
| 868 | len = 3; |
| 869 | } |
| 870 | } |
| 871 | else { |
| 872 | pdata[0] = BININT; |
| 873 | len = 5; |
| 874 | } |
| 875 | |
| 876 | if (pickler_write(self, pdata, len) < 0) |
| 877 | return -1; |
| 878 | } |
| 879 | |
| 880 | return 0; |
| 881 | } |
| 882 | |
| 883 | static int |
| 884 | save_long(PicklerObject *self, PyObject *obj) |
| 885 | { |
| 886 | PyObject *repr = NULL; |
| 887 | Py_ssize_t size; |
| 888 | long val = PyLong_AsLong(obj); |
| 889 | int status = 0; |
| 890 | |
| 891 | const char long_op = LONG; |
| 892 | |
| 893 | if (val == -1 && PyErr_Occurred()) { |
| 894 | /* out of range for int pickling */ |
| 895 | PyErr_Clear(); |
| 896 | } |
| 897 | else |
| 898 | return save_int(self, val); |
| 899 | |
| 900 | if (self->proto >= 2) { |
| 901 | /* Linear-time pickling. */ |
| 902 | size_t nbits; |
| 903 | size_t nbytes; |
| 904 | unsigned char *pdata; |
| 905 | char header[5]; |
| 906 | int i; |
| 907 | int sign = _PyLong_Sign(obj); |
| 908 | |
| 909 | if (sign == 0) { |
| 910 | header[0] = LONG1; |
| 911 | header[1] = 0; /* It's 0 -- an empty bytestring. */ |
| 912 | if (pickler_write(self, header, 2) < 0) |
| 913 | goto error; |
| 914 | return 0; |
| 915 | } |
| 916 | nbits = _PyLong_NumBits(obj); |
| 917 | if (nbits == (size_t)-1 && PyErr_Occurred()) |
| 918 | goto error; |
| 919 | /* How many bytes do we need? There are nbits >> 3 full |
| 920 | * bytes of data, and nbits & 7 leftover bits. If there |
| 921 | * are any leftover bits, then we clearly need another |
| 922 | * byte. Wnat's not so obvious is that we *probably* |
| 923 | * need another byte even if there aren't any leftovers: |
| 924 | * the most-significant bit of the most-significant byte |
| 925 | * acts like a sign bit, and it's usually got a sense |
| 926 | * opposite of the one we need. The exception is longs |
| 927 | * of the form -(2**(8*j-1)) for j > 0. Such a long is |
| 928 | * its own 256's-complement, so has the right sign bit |
| 929 | * even without the extra byte. That's a pain to check |
| 930 | * for in advance, though, so we always grab an extra |
| 931 | * byte at the start, and cut it back later if possible. |
| 932 | */ |
| 933 | nbytes = (nbits >> 3) + 1; |
| 934 | if (nbytes > INT_MAX) { |
| 935 | PyErr_SetString(PyExc_OverflowError, |
| 936 | "long too large to pickle"); |
| 937 | goto error; |
| 938 | } |
Neal Norwitz | 6ae2eb2 | 2008-08-24 23:50:08 +0000 | [diff] [blame] | 939 | repr = PyBytes_FromStringAndSize(NULL, (Py_ssize_t)nbytes); |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 940 | if (repr == NULL) |
| 941 | goto error; |
Neal Norwitz | 6ae2eb2 | 2008-08-24 23:50:08 +0000 | [diff] [blame] | 942 | pdata = (unsigned char *)PyBytes_AS_STRING(repr); |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 943 | i = _PyLong_AsByteArray((PyLongObject *)obj, |
| 944 | pdata, nbytes, |
| 945 | 1 /* little endian */ , 1 /* signed */ ); |
| 946 | if (i < 0) |
| 947 | goto error; |
| 948 | /* If the long is negative, this may be a byte more than |
| 949 | * needed. This is so iff the MSB is all redundant sign |
| 950 | * bits. |
| 951 | */ |
| 952 | if (sign < 0 && |
| 953 | nbytes > 1 && |
| 954 | pdata[nbytes - 1] == 0xff && |
| 955 | (pdata[nbytes - 2] & 0x80) != 0) { |
| 956 | nbytes--; |
| 957 | } |
| 958 | |
| 959 | if (nbytes < 256) { |
| 960 | header[0] = LONG1; |
| 961 | header[1] = (unsigned char)nbytes; |
| 962 | size = 2; |
| 963 | } |
| 964 | else { |
| 965 | header[0] = LONG4; |
| 966 | size = (int)nbytes; |
| 967 | for (i = 1; i < 5; i++) { |
| 968 | header[i] = (unsigned char)(size & 0xff); |
| 969 | size >>= 8; |
| 970 | } |
| 971 | size = 5; |
| 972 | } |
| 973 | if (pickler_write(self, header, size) < 0 || |
| 974 | pickler_write(self, (char *)pdata, (int)nbytes) < 0) |
| 975 | goto error; |
| 976 | } |
| 977 | else { |
| 978 | char *string; |
| 979 | |
Mark Dickinson | 8dd0514 | 2009-01-20 20:43:58 +0000 | [diff] [blame] | 980 | /* proto < 2: write the repr and newline. This is quadratic-time (in |
| 981 | the number of digits), in both directions. We add a trailing 'L' |
| 982 | to the repr, for compatibility with Python 2.x. */ |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 983 | |
| 984 | repr = PyObject_Repr(obj); |
| 985 | if (repr == NULL) |
| 986 | goto error; |
| 987 | |
Marc-André Lemburg | 4cc0f24 | 2008-08-07 18:54:33 +0000 | [diff] [blame] | 988 | string = _PyUnicode_AsStringAndSize(repr, &size); |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 989 | if (string == NULL) |
| 990 | goto error; |
| 991 | |
| 992 | if (pickler_write(self, &long_op, 1) < 0 || |
| 993 | pickler_write(self, string, size) < 0 || |
Mark Dickinson | 8dd0514 | 2009-01-20 20:43:58 +0000 | [diff] [blame] | 994 | pickler_write(self, "L\n", 2) < 0) |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 995 | goto error; |
| 996 | } |
| 997 | |
| 998 | if (0) { |
| 999 | error: |
| 1000 | status = -1; |
| 1001 | } |
| 1002 | Py_XDECREF(repr); |
| 1003 | |
| 1004 | return status; |
| 1005 | } |
| 1006 | |
| 1007 | static int |
| 1008 | save_float(PicklerObject *self, PyObject *obj) |
| 1009 | { |
| 1010 | double x = PyFloat_AS_DOUBLE((PyFloatObject *)obj); |
| 1011 | |
| 1012 | if (self->bin) { |
| 1013 | char pdata[9]; |
| 1014 | pdata[0] = BINFLOAT; |
| 1015 | if (_PyFloat_Pack8(x, (unsigned char *)&pdata[1], 0) < 0) |
| 1016 | return -1; |
| 1017 | if (pickler_write(self, pdata, 9) < 0) |
| 1018 | return -1; |
| 1019 | } |
| 1020 | else { |
| 1021 | char pdata[250]; |
| 1022 | pdata[0] = FLOAT; |
| 1023 | PyOS_ascii_formatd(pdata + 1, sizeof(pdata) - 2, "%.17g", x); |
| 1024 | /* Extend the formatted string with a newline character */ |
| 1025 | strcat(pdata, "\n"); |
| 1026 | |
| 1027 | if (pickler_write(self, pdata, strlen(pdata)) < 0) |
| 1028 | return -1; |
| 1029 | } |
| 1030 | |
| 1031 | return 0; |
| 1032 | } |
| 1033 | |
| 1034 | static int |
| 1035 | save_bytes(PicklerObject *self, PyObject *obj) |
| 1036 | { |
| 1037 | if (self->proto < 3) { |
| 1038 | /* Older pickle protocols do not have an opcode for pickling bytes |
| 1039 | objects. Therefore, we need to fake the copy protocol (i.e., |
| 1040 | the __reduce__ method) to permit bytes object unpickling. */ |
| 1041 | PyObject *reduce_value = NULL; |
| 1042 | PyObject *bytelist = NULL; |
| 1043 | int status; |
| 1044 | |
| 1045 | bytelist = PySequence_List(obj); |
| 1046 | if (bytelist == NULL) |
| 1047 | return -1; |
| 1048 | |
| 1049 | reduce_value = Py_BuildValue("(O(O))", (PyObject *)&PyBytes_Type, |
| 1050 | bytelist); |
| 1051 | if (reduce_value == NULL) { |
| 1052 | Py_DECREF(bytelist); |
| 1053 | return -1; |
| 1054 | } |
| 1055 | |
| 1056 | /* save_reduce() will memoize the object automatically. */ |
| 1057 | status = save_reduce(self, reduce_value, obj); |
| 1058 | Py_DECREF(reduce_value); |
| 1059 | Py_DECREF(bytelist); |
| 1060 | return status; |
| 1061 | } |
| 1062 | else { |
| 1063 | Py_ssize_t size; |
| 1064 | char header[5]; |
| 1065 | int len; |
| 1066 | |
| 1067 | size = PyBytes_Size(obj); |
| 1068 | if (size < 0) |
| 1069 | return -1; |
| 1070 | |
| 1071 | if (size < 256) { |
| 1072 | header[0] = SHORT_BINBYTES; |
| 1073 | header[1] = (unsigned char)size; |
| 1074 | len = 2; |
| 1075 | } |
| 1076 | else if (size <= 0xffffffffL) { |
| 1077 | header[0] = BINBYTES; |
| 1078 | header[1] = (unsigned char)(size & 0xff); |
| 1079 | header[2] = (unsigned char)((size >> 8) & 0xff); |
| 1080 | header[3] = (unsigned char)((size >> 16) & 0xff); |
| 1081 | header[4] = (unsigned char)((size >> 24) & 0xff); |
| 1082 | len = 5; |
| 1083 | } |
| 1084 | else { |
| 1085 | return -1; /* string too large */ |
| 1086 | } |
| 1087 | |
| 1088 | if (pickler_write(self, header, len) < 0) |
| 1089 | return -1; |
| 1090 | |
| 1091 | if (pickler_write(self, PyBytes_AS_STRING(obj), size) < 0) |
| 1092 | return -1; |
| 1093 | |
| 1094 | if (memo_put(self, obj) < 0) |
| 1095 | return -1; |
| 1096 | |
| 1097 | return 0; |
| 1098 | } |
| 1099 | } |
| 1100 | |
| 1101 | /* A copy of PyUnicode_EncodeRawUnicodeEscape() that also translates |
| 1102 | backslash and newline characters to \uXXXX escapes. */ |
| 1103 | static PyObject * |
| 1104 | raw_unicode_escape(const Py_UNICODE *s, Py_ssize_t size) |
| 1105 | { |
| 1106 | PyObject *repr, *result; |
| 1107 | char *p; |
| 1108 | char *q; |
| 1109 | |
| 1110 | static const char *hexdigits = "0123456789abcdef"; |
| 1111 | |
| 1112 | #ifdef Py_UNICODE_WIDE |
Alexandre Vassalotti | 554d878 | 2008-12-27 07:32:41 +0000 | [diff] [blame] | 1113 | const Py_ssize_t expandsize = 10; |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 1114 | #else |
Alexandre Vassalotti | 554d878 | 2008-12-27 07:32:41 +0000 | [diff] [blame] | 1115 | const Py_ssize_t expandsize = 6; |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 1116 | #endif |
Alexandre Vassalotti | 554d878 | 2008-12-27 07:32:41 +0000 | [diff] [blame] | 1117 | |
| 1118 | if (size > PY_SSIZE_T_MAX / expandsize) |
| 1119 | return PyErr_NoMemory(); |
| 1120 | |
| 1121 | repr = PyByteArray_FromStringAndSize(NULL, expandsize * size); |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 1122 | if (repr == NULL) |
| 1123 | return NULL; |
| 1124 | if (size == 0) |
| 1125 | goto done; |
| 1126 | |
Alexandre Vassalotti | 554d878 | 2008-12-27 07:32:41 +0000 | [diff] [blame] | 1127 | p = q = PyByteArray_AS_STRING(repr); |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 1128 | while (size-- > 0) { |
| 1129 | Py_UNICODE ch = *s++; |
| 1130 | #ifdef Py_UNICODE_WIDE |
| 1131 | /* Map 32-bit characters to '\Uxxxxxxxx' */ |
| 1132 | if (ch >= 0x10000) { |
| 1133 | *p++ = '\\'; |
| 1134 | *p++ = 'U'; |
| 1135 | *p++ = hexdigits[(ch >> 28) & 0xf]; |
| 1136 | *p++ = hexdigits[(ch >> 24) & 0xf]; |
| 1137 | *p++ = hexdigits[(ch >> 20) & 0xf]; |
| 1138 | *p++ = hexdigits[(ch >> 16) & 0xf]; |
| 1139 | *p++ = hexdigits[(ch >> 12) & 0xf]; |
| 1140 | *p++ = hexdigits[(ch >> 8) & 0xf]; |
| 1141 | *p++ = hexdigits[(ch >> 4) & 0xf]; |
| 1142 | *p++ = hexdigits[ch & 15]; |
| 1143 | } |
| 1144 | else |
Alexandre Vassalotti | 554d878 | 2008-12-27 07:32:41 +0000 | [diff] [blame] | 1145 | #else |
| 1146 | /* Map UTF-16 surrogate pairs to '\U00xxxxxx' */ |
| 1147 | if (ch >= 0xD800 && ch < 0xDC00) { |
| 1148 | Py_UNICODE ch2; |
| 1149 | Py_UCS4 ucs; |
| 1150 | |
| 1151 | ch2 = *s++; |
| 1152 | size--; |
| 1153 | if (ch2 >= 0xDC00 && ch2 <= 0xDFFF) { |
| 1154 | ucs = (((ch & 0x03FF) << 10) | (ch2 & 0x03FF)) + 0x00010000; |
| 1155 | *p++ = '\\'; |
| 1156 | *p++ = 'U'; |
| 1157 | *p++ = hexdigits[(ucs >> 28) & 0xf]; |
| 1158 | *p++ = hexdigits[(ucs >> 24) & 0xf]; |
| 1159 | *p++ = hexdigits[(ucs >> 20) & 0xf]; |
| 1160 | *p++ = hexdigits[(ucs >> 16) & 0xf]; |
| 1161 | *p++ = hexdigits[(ucs >> 12) & 0xf]; |
| 1162 | *p++ = hexdigits[(ucs >> 8) & 0xf]; |
| 1163 | *p++ = hexdigits[(ucs >> 4) & 0xf]; |
| 1164 | *p++ = hexdigits[ucs & 0xf]; |
| 1165 | continue; |
| 1166 | } |
| 1167 | /* Fall through: isolated surrogates are copied as-is */ |
| 1168 | s--; |
| 1169 | size++; |
| 1170 | } |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 1171 | #endif |
| 1172 | /* Map 16-bit characters to '\uxxxx' */ |
| 1173 | if (ch >= 256 || ch == '\\' || ch == '\n') { |
| 1174 | *p++ = '\\'; |
| 1175 | *p++ = 'u'; |
| 1176 | *p++ = hexdigits[(ch >> 12) & 0xf]; |
| 1177 | *p++ = hexdigits[(ch >> 8) & 0xf]; |
| 1178 | *p++ = hexdigits[(ch >> 4) & 0xf]; |
| 1179 | *p++ = hexdigits[ch & 15]; |
| 1180 | } |
Alexandre Vassalotti | 554d878 | 2008-12-27 07:32:41 +0000 | [diff] [blame] | 1181 | /* Copy everything else as-is */ |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 1182 | else |
| 1183 | *p++ = (char) ch; |
| 1184 | } |
| 1185 | size = p - q; |
| 1186 | |
| 1187 | done: |
Alexandre Vassalotti | 554d878 | 2008-12-27 07:32:41 +0000 | [diff] [blame] | 1188 | result = PyBytes_FromStringAndSize(PyByteArray_AS_STRING(repr), size); |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 1189 | Py_DECREF(repr); |
| 1190 | return result; |
| 1191 | } |
| 1192 | |
| 1193 | static int |
| 1194 | save_unicode(PicklerObject *self, PyObject *obj) |
| 1195 | { |
| 1196 | Py_ssize_t size; |
| 1197 | PyObject *encoded = NULL; |
| 1198 | |
| 1199 | if (self->bin) { |
| 1200 | char pdata[5]; |
| 1201 | |
| 1202 | encoded = PyUnicode_AsUTF8String(obj); |
| 1203 | if (encoded == NULL) |
| 1204 | goto error; |
| 1205 | |
| 1206 | size = PyBytes_GET_SIZE(encoded); |
| 1207 | if (size < 0 || size > 0xffffffffL) |
| 1208 | goto error; /* string too large */ |
| 1209 | |
| 1210 | pdata[0] = BINUNICODE; |
| 1211 | pdata[1] = (unsigned char)(size & 0xff); |
| 1212 | pdata[2] = (unsigned char)((size >> 8) & 0xff); |
| 1213 | pdata[3] = (unsigned char)((size >> 16) & 0xff); |
| 1214 | pdata[4] = (unsigned char)((size >> 24) & 0xff); |
| 1215 | |
| 1216 | if (pickler_write(self, pdata, 5) < 0) |
| 1217 | goto error; |
| 1218 | |
| 1219 | if (pickler_write(self, PyBytes_AS_STRING(encoded), size) < 0) |
| 1220 | goto error; |
| 1221 | } |
| 1222 | else { |
| 1223 | const char unicode_op = UNICODE; |
| 1224 | |
| 1225 | encoded = raw_unicode_escape(PyUnicode_AS_UNICODE(obj), |
| 1226 | PyUnicode_GET_SIZE(obj)); |
| 1227 | if (encoded == NULL) |
| 1228 | goto error; |
| 1229 | |
| 1230 | if (pickler_write(self, &unicode_op, 1) < 0) |
| 1231 | goto error; |
| 1232 | |
| 1233 | size = PyBytes_GET_SIZE(encoded); |
| 1234 | if (pickler_write(self, PyBytes_AS_STRING(encoded), size) < 0) |
| 1235 | goto error; |
| 1236 | |
| 1237 | if (pickler_write(self, "\n", 1) < 0) |
| 1238 | goto error; |
| 1239 | } |
| 1240 | if (memo_put(self, obj) < 0) |
| 1241 | goto error; |
| 1242 | |
| 1243 | Py_DECREF(encoded); |
| 1244 | return 0; |
| 1245 | |
| 1246 | error: |
| 1247 | Py_XDECREF(encoded); |
| 1248 | return -1; |
| 1249 | } |
| 1250 | |
| 1251 | /* A helper for save_tuple. Push the len elements in tuple t on the stack. */ |
| 1252 | static int |
| 1253 | store_tuple_elements(PicklerObject *self, PyObject *t, int len) |
| 1254 | { |
| 1255 | int i; |
| 1256 | |
| 1257 | assert(PyTuple_Size(t) == len); |
| 1258 | |
| 1259 | for (i = 0; i < len; i++) { |
| 1260 | PyObject *element = PyTuple_GET_ITEM(t, i); |
| 1261 | |
| 1262 | if (element == NULL) |
| 1263 | return -1; |
| 1264 | if (save(self, element, 0) < 0) |
| 1265 | return -1; |
| 1266 | } |
| 1267 | |
| 1268 | return 0; |
| 1269 | } |
| 1270 | |
| 1271 | /* Tuples are ubiquitous in the pickle protocols, so many techniques are |
| 1272 | * used across protocols to minimize the space needed to pickle them. |
| 1273 | * Tuples are also the only builtin immutable type that can be recursive |
| 1274 | * (a tuple can be reached from itself), and that requires some subtle |
| 1275 | * magic so that it works in all cases. IOW, this is a long routine. |
| 1276 | */ |
| 1277 | static int |
| 1278 | save_tuple(PicklerObject *self, PyObject *obj) |
| 1279 | { |
| 1280 | PyObject *memo_key = NULL; |
| 1281 | int len, i; |
| 1282 | int status = 0; |
| 1283 | |
| 1284 | const char mark_op = MARK; |
| 1285 | const char tuple_op = TUPLE; |
| 1286 | const char pop_op = POP; |
| 1287 | const char pop_mark_op = POP_MARK; |
| 1288 | const char len2opcode[] = {EMPTY_TUPLE, TUPLE1, TUPLE2, TUPLE3}; |
| 1289 | |
| 1290 | if ((len = PyTuple_Size(obj)) < 0) |
| 1291 | return -1; |
| 1292 | |
| 1293 | if (len == 0) { |
| 1294 | char pdata[2]; |
| 1295 | |
| 1296 | if (self->proto) { |
| 1297 | pdata[0] = EMPTY_TUPLE; |
| 1298 | len = 1; |
| 1299 | } |
| 1300 | else { |
| 1301 | pdata[0] = MARK; |
| 1302 | pdata[1] = TUPLE; |
| 1303 | len = 2; |
| 1304 | } |
| 1305 | if (pickler_write(self, pdata, len) < 0) |
| 1306 | return -1; |
| 1307 | return 0; |
| 1308 | } |
| 1309 | |
| 1310 | /* id(tuple) isn't in the memo now. If it shows up there after |
| 1311 | * saving the tuple elements, the tuple must be recursive, in |
| 1312 | * which case we'll pop everything we put on the stack, and fetch |
| 1313 | * its value from the memo. |
| 1314 | */ |
| 1315 | memo_key = PyLong_FromVoidPtr(obj); |
| 1316 | if (memo_key == NULL) |
| 1317 | return -1; |
| 1318 | |
| 1319 | if (len <= 3 && self->proto >= 2) { |
| 1320 | /* Use TUPLE{1,2,3} opcodes. */ |
| 1321 | if (store_tuple_elements(self, obj, len) < 0) |
| 1322 | goto error; |
| 1323 | |
| 1324 | if (PyDict_GetItem(self->memo, memo_key)) { |
| 1325 | /* pop the len elements */ |
| 1326 | for (i = 0; i < len; i++) |
| 1327 | if (pickler_write(self, &pop_op, 1) < 0) |
| 1328 | goto error; |
| 1329 | /* fetch from memo */ |
| 1330 | if (memo_get(self, memo_key) < 0) |
| 1331 | goto error; |
| 1332 | |
| 1333 | Py_DECREF(memo_key); |
| 1334 | return 0; |
| 1335 | } |
| 1336 | else { /* Not recursive. */ |
| 1337 | if (pickler_write(self, len2opcode + len, 1) < 0) |
| 1338 | goto error; |
| 1339 | } |
| 1340 | goto memoize; |
| 1341 | } |
| 1342 | |
| 1343 | /* proto < 2 and len > 0, or proto >= 2 and len > 3. |
| 1344 | * Generate MARK e1 e2 ... TUPLE |
| 1345 | */ |
| 1346 | if (pickler_write(self, &mark_op, 1) < 0) |
| 1347 | goto error; |
| 1348 | |
| 1349 | if (store_tuple_elements(self, obj, len) < 0) |
| 1350 | goto error; |
| 1351 | |
| 1352 | if (PyDict_GetItem(self->memo, memo_key)) { |
| 1353 | /* pop the stack stuff we pushed */ |
| 1354 | if (self->bin) { |
| 1355 | if (pickler_write(self, &pop_mark_op, 1) < 0) |
| 1356 | goto error; |
| 1357 | } |
| 1358 | else { |
| 1359 | /* Note that we pop one more than len, to remove |
| 1360 | * the MARK too. |
| 1361 | */ |
| 1362 | for (i = 0; i <= len; i++) |
| 1363 | if (pickler_write(self, &pop_op, 1) < 0) |
| 1364 | goto error; |
| 1365 | } |
| 1366 | /* fetch from memo */ |
| 1367 | if (memo_get(self, memo_key) < 0) |
| 1368 | goto error; |
| 1369 | |
| 1370 | Py_DECREF(memo_key); |
| 1371 | return 0; |
| 1372 | } |
| 1373 | else { /* Not recursive. */ |
| 1374 | if (pickler_write(self, &tuple_op, 1) < 0) |
| 1375 | goto error; |
| 1376 | } |
| 1377 | |
| 1378 | memoize: |
| 1379 | if (memo_put(self, obj) < 0) |
| 1380 | goto error; |
| 1381 | |
| 1382 | if (0) { |
| 1383 | error: |
| 1384 | status = -1; |
| 1385 | } |
| 1386 | |
| 1387 | Py_DECREF(memo_key); |
| 1388 | return status; |
| 1389 | } |
| 1390 | |
| 1391 | /* iter is an iterator giving items, and we batch up chunks of |
| 1392 | * MARK item item ... item APPENDS |
| 1393 | * opcode sequences. Calling code should have arranged to first create an |
| 1394 | * empty list, or list-like object, for the APPENDS to operate on. |
| 1395 | * Returns 0 on success, <0 on error. |
| 1396 | */ |
| 1397 | static int |
| 1398 | batch_list(PicklerObject *self, PyObject *iter) |
| 1399 | { |
Amaury Forgeot d'Arc | fb1a5eb | 2008-09-11 21:03:37 +0000 | [diff] [blame] | 1400 | PyObject *obj = NULL; |
| 1401 | PyObject *firstitem = NULL; |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 1402 | int i, n; |
| 1403 | |
| 1404 | const char mark_op = MARK; |
| 1405 | const char append_op = APPEND; |
| 1406 | const char appends_op = APPENDS; |
| 1407 | |
| 1408 | assert(iter != NULL); |
| 1409 | |
| 1410 | /* XXX: I think this function could be made faster by avoiding the |
| 1411 | iterator interface and fetching objects directly from list using |
| 1412 | PyList_GET_ITEM. |
| 1413 | */ |
| 1414 | |
| 1415 | if (self->proto == 0) { |
| 1416 | /* APPENDS isn't available; do one at a time. */ |
| 1417 | for (;;) { |
| 1418 | obj = PyIter_Next(iter); |
| 1419 | if (obj == NULL) { |
| 1420 | if (PyErr_Occurred()) |
| 1421 | return -1; |
| 1422 | break; |
| 1423 | } |
| 1424 | i = save(self, obj, 0); |
| 1425 | Py_DECREF(obj); |
| 1426 | if (i < 0) |
| 1427 | return -1; |
| 1428 | if (pickler_write(self, &append_op, 1) < 0) |
| 1429 | return -1; |
| 1430 | } |
| 1431 | return 0; |
| 1432 | } |
| 1433 | |
| 1434 | /* proto > 0: write in batches of BATCHSIZE. */ |
| 1435 | do { |
Amaury Forgeot d'Arc | fb1a5eb | 2008-09-11 21:03:37 +0000 | [diff] [blame] | 1436 | /* Get first item */ |
| 1437 | firstitem = PyIter_Next(iter); |
| 1438 | if (firstitem == NULL) { |
| 1439 | if (PyErr_Occurred()) |
| 1440 | goto error; |
| 1441 | |
| 1442 | /* nothing more to add */ |
| 1443 | break; |
| 1444 | } |
| 1445 | |
| 1446 | /* Try to get a second item */ |
| 1447 | obj = PyIter_Next(iter); |
| 1448 | if (obj == NULL) { |
| 1449 | if (PyErr_Occurred()) |
| 1450 | goto error; |
| 1451 | |
| 1452 | /* Only one item to write */ |
| 1453 | if (save(self, firstitem, 0) < 0) |
| 1454 | goto error; |
| 1455 | if (pickler_write(self, &append_op, 1) < 0) |
| 1456 | goto error; |
| 1457 | Py_CLEAR(firstitem); |
| 1458 | break; |
| 1459 | } |
| 1460 | |
| 1461 | /* More than one item to write */ |
| 1462 | |
| 1463 | /* Pump out MARK, items, APPENDS. */ |
| 1464 | if (pickler_write(self, &mark_op, 1) < 0) |
| 1465 | goto error; |
| 1466 | |
| 1467 | if (save(self, firstitem, 0) < 0) |
| 1468 | goto error; |
| 1469 | Py_CLEAR(firstitem); |
| 1470 | n = 1; |
| 1471 | |
| 1472 | /* Fetch and save up to BATCHSIZE items */ |
| 1473 | while (obj) { |
| 1474 | if (save(self, obj, 0) < 0) |
| 1475 | goto error; |
| 1476 | Py_CLEAR(obj); |
| 1477 | n += 1; |
| 1478 | |
| 1479 | if (n == BATCHSIZE) |
| 1480 | break; |
| 1481 | |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 1482 | obj = PyIter_Next(iter); |
| 1483 | if (obj == NULL) { |
| 1484 | if (PyErr_Occurred()) |
| 1485 | goto error; |
| 1486 | break; |
| 1487 | } |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 1488 | } |
| 1489 | |
Amaury Forgeot d'Arc | fb1a5eb | 2008-09-11 21:03:37 +0000 | [diff] [blame] | 1490 | if (pickler_write(self, &appends_op, 1) < 0) |
| 1491 | goto error; |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 1492 | |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 1493 | } while (n == BATCHSIZE); |
| 1494 | return 0; |
| 1495 | |
| 1496 | error: |
Amaury Forgeot d'Arc | fb1a5eb | 2008-09-11 21:03:37 +0000 | [diff] [blame] | 1497 | Py_XDECREF(firstitem); |
| 1498 | Py_XDECREF(obj); |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 1499 | return -1; |
| 1500 | } |
| 1501 | |
| 1502 | static int |
| 1503 | save_list(PicklerObject *self, PyObject *obj) |
| 1504 | { |
| 1505 | PyObject *iter; |
| 1506 | char header[3]; |
| 1507 | int len; |
| 1508 | int status = 0; |
| 1509 | |
| 1510 | if (self->fast && !fast_save_enter(self, obj)) |
| 1511 | goto error; |
| 1512 | |
| 1513 | /* Create an empty list. */ |
| 1514 | if (self->bin) { |
| 1515 | header[0] = EMPTY_LIST; |
| 1516 | len = 1; |
| 1517 | } |
| 1518 | else { |
| 1519 | header[0] = MARK; |
| 1520 | header[1] = LIST; |
| 1521 | len = 2; |
| 1522 | } |
| 1523 | |
| 1524 | if (pickler_write(self, header, len) < 0) |
| 1525 | goto error; |
| 1526 | |
| 1527 | /* Get list length, and bow out early if empty. */ |
| 1528 | if ((len = PyList_Size(obj)) < 0) |
| 1529 | goto error; |
| 1530 | |
| 1531 | if (memo_put(self, obj) < 0) |
| 1532 | goto error; |
| 1533 | |
| 1534 | if (len != 0) { |
| 1535 | /* Save the list elements. */ |
| 1536 | iter = PyObject_GetIter(obj); |
| 1537 | if (iter == NULL) |
| 1538 | goto error; |
| 1539 | status = batch_list(self, iter); |
| 1540 | Py_DECREF(iter); |
| 1541 | } |
| 1542 | |
| 1543 | if (0) { |
| 1544 | error: |
| 1545 | status = -1; |
| 1546 | } |
| 1547 | |
| 1548 | if (self->fast && !fast_save_leave(self, obj)) |
| 1549 | status = -1; |
| 1550 | |
| 1551 | return status; |
| 1552 | } |
| 1553 | |
| 1554 | /* iter is an iterator giving (key, value) pairs, and we batch up chunks of |
| 1555 | * MARK key value ... key value SETITEMS |
| 1556 | * opcode sequences. Calling code should have arranged to first create an |
| 1557 | * empty dict, or dict-like object, for the SETITEMS to operate on. |
| 1558 | * Returns 0 on success, <0 on error. |
| 1559 | * |
| 1560 | * This is very much like batch_list(). The difference between saving |
| 1561 | * elements directly, and picking apart two-tuples, is so long-winded at |
| 1562 | * the C level, though, that attempts to combine these routines were too |
| 1563 | * ugly to bear. |
| 1564 | */ |
| 1565 | static int |
| 1566 | batch_dict(PicklerObject *self, PyObject *iter) |
| 1567 | { |
Amaury Forgeot d'Arc | fb1a5eb | 2008-09-11 21:03:37 +0000 | [diff] [blame] | 1568 | PyObject *obj = NULL; |
| 1569 | PyObject *firstitem = NULL; |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 1570 | int i, n; |
| 1571 | |
| 1572 | const char mark_op = MARK; |
| 1573 | const char setitem_op = SETITEM; |
| 1574 | const char setitems_op = SETITEMS; |
| 1575 | |
| 1576 | assert(iter != NULL); |
| 1577 | |
| 1578 | if (self->proto == 0) { |
| 1579 | /* SETITEMS isn't available; do one at a time. */ |
| 1580 | for (;;) { |
| 1581 | obj = PyIter_Next(iter); |
| 1582 | if (obj == NULL) { |
| 1583 | if (PyErr_Occurred()) |
| 1584 | return -1; |
| 1585 | break; |
| 1586 | } |
| 1587 | if (!PyTuple_Check(obj) || PyTuple_Size(obj) != 2) { |
| 1588 | PyErr_SetString(PyExc_TypeError, "dict items " |
| 1589 | "iterator must return 2-tuples"); |
| 1590 | return -1; |
| 1591 | } |
| 1592 | i = save(self, PyTuple_GET_ITEM(obj, 0), 0); |
| 1593 | if (i >= 0) |
| 1594 | i = save(self, PyTuple_GET_ITEM(obj, 1), 0); |
| 1595 | Py_DECREF(obj); |
| 1596 | if (i < 0) |
| 1597 | return -1; |
| 1598 | if (pickler_write(self, &setitem_op, 1) < 0) |
| 1599 | return -1; |
| 1600 | } |
| 1601 | return 0; |
| 1602 | } |
| 1603 | |
| 1604 | /* proto > 0: write in batches of BATCHSIZE. */ |
| 1605 | do { |
Amaury Forgeot d'Arc | fb1a5eb | 2008-09-11 21:03:37 +0000 | [diff] [blame] | 1606 | /* Get first item */ |
| 1607 | firstitem = PyIter_Next(iter); |
| 1608 | if (firstitem == NULL) { |
| 1609 | if (PyErr_Occurred()) |
| 1610 | goto error; |
| 1611 | |
| 1612 | /* nothing more to add */ |
| 1613 | break; |
| 1614 | } |
| 1615 | if (!PyTuple_Check(firstitem) || PyTuple_Size(firstitem) != 2) { |
| 1616 | PyErr_SetString(PyExc_TypeError, "dict items " |
| 1617 | "iterator must return 2-tuples"); |
| 1618 | goto error; |
| 1619 | } |
| 1620 | |
| 1621 | /* Try to get a second item */ |
| 1622 | obj = PyIter_Next(iter); |
| 1623 | if (obj == NULL) { |
| 1624 | if (PyErr_Occurred()) |
| 1625 | goto error; |
| 1626 | |
| 1627 | /* Only one item to write */ |
| 1628 | if (save(self, PyTuple_GET_ITEM(firstitem, 0), 0) < 0) |
| 1629 | goto error; |
| 1630 | if (save(self, PyTuple_GET_ITEM(firstitem, 1), 0) < 0) |
| 1631 | goto error; |
| 1632 | if (pickler_write(self, &setitem_op, 1) < 0) |
| 1633 | goto error; |
| 1634 | Py_CLEAR(firstitem); |
| 1635 | break; |
| 1636 | } |
| 1637 | |
| 1638 | /* More than one item to write */ |
| 1639 | |
| 1640 | /* Pump out MARK, items, SETITEMS. */ |
| 1641 | if (pickler_write(self, &mark_op, 1) < 0) |
| 1642 | goto error; |
| 1643 | |
| 1644 | if (save(self, PyTuple_GET_ITEM(firstitem, 0), 0) < 0) |
| 1645 | goto error; |
| 1646 | if (save(self, PyTuple_GET_ITEM(firstitem, 1), 0) < 0) |
| 1647 | goto error; |
| 1648 | Py_CLEAR(firstitem); |
| 1649 | n = 1; |
| 1650 | |
| 1651 | /* Fetch and save up to BATCHSIZE items */ |
| 1652 | while (obj) { |
| 1653 | if (!PyTuple_Check(obj) || PyTuple_Size(obj) != 2) { |
| 1654 | PyErr_SetString(PyExc_TypeError, "dict items " |
| 1655 | "iterator must return 2-tuples"); |
| 1656 | goto error; |
| 1657 | } |
| 1658 | if (save(self, PyTuple_GET_ITEM(obj, 0), 0) < 0 || |
| 1659 | save(self, PyTuple_GET_ITEM(obj, 1), 0) < 0) |
| 1660 | goto error; |
| 1661 | Py_CLEAR(obj); |
| 1662 | n += 1; |
| 1663 | |
| 1664 | if (n == BATCHSIZE) |
| 1665 | break; |
| 1666 | |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 1667 | obj = PyIter_Next(iter); |
| 1668 | if (obj == NULL) { |
| 1669 | if (PyErr_Occurred()) |
| 1670 | goto error; |
| 1671 | break; |
| 1672 | } |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 1673 | } |
| 1674 | |
Amaury Forgeot d'Arc | fb1a5eb | 2008-09-11 21:03:37 +0000 | [diff] [blame] | 1675 | if (pickler_write(self, &setitems_op, 1) < 0) |
| 1676 | goto error; |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 1677 | |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 1678 | } while (n == BATCHSIZE); |
| 1679 | return 0; |
| 1680 | |
| 1681 | error: |
Amaury Forgeot d'Arc | fb1a5eb | 2008-09-11 21:03:37 +0000 | [diff] [blame] | 1682 | Py_XDECREF(firstitem); |
| 1683 | Py_XDECREF(obj); |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 1684 | return -1; |
| 1685 | } |
| 1686 | |
| 1687 | static int |
| 1688 | save_dict(PicklerObject *self, PyObject *obj) |
| 1689 | { |
| 1690 | PyObject *items, *iter; |
| 1691 | char header[3]; |
| 1692 | int len; |
| 1693 | int status = 0; |
| 1694 | |
| 1695 | if (self->fast && !fast_save_enter(self, obj)) |
| 1696 | goto error; |
| 1697 | |
| 1698 | /* Create an empty dict. */ |
| 1699 | if (self->bin) { |
| 1700 | header[0] = EMPTY_DICT; |
| 1701 | len = 1; |
| 1702 | } |
| 1703 | else { |
| 1704 | header[0] = MARK; |
| 1705 | header[1] = DICT; |
| 1706 | len = 2; |
| 1707 | } |
| 1708 | |
| 1709 | if (pickler_write(self, header, len) < 0) |
| 1710 | goto error; |
| 1711 | |
| 1712 | /* Get dict size, and bow out early if empty. */ |
| 1713 | if ((len = PyDict_Size(obj)) < 0) |
| 1714 | goto error; |
| 1715 | |
| 1716 | if (memo_put(self, obj) < 0) |
| 1717 | goto error; |
| 1718 | |
| 1719 | if (len != 0) { |
| 1720 | /* Save the dict items. */ |
| 1721 | items = PyObject_CallMethod(obj, "items", "()"); |
| 1722 | if (items == NULL) |
| 1723 | goto error; |
| 1724 | iter = PyObject_GetIter(items); |
| 1725 | Py_DECREF(items); |
| 1726 | if (iter == NULL) |
| 1727 | goto error; |
| 1728 | status = batch_dict(self, iter); |
| 1729 | Py_DECREF(iter); |
| 1730 | } |
| 1731 | |
| 1732 | if (0) { |
| 1733 | error: |
| 1734 | status = -1; |
| 1735 | } |
| 1736 | |
| 1737 | if (self->fast && !fast_save_leave(self, obj)) |
| 1738 | status = -1; |
| 1739 | |
| 1740 | return status; |
| 1741 | } |
| 1742 | |
| 1743 | static int |
| 1744 | save_global(PicklerObject *self, PyObject *obj, PyObject *name) |
| 1745 | { |
| 1746 | static PyObject *name_str = NULL; |
| 1747 | PyObject *global_name = NULL; |
| 1748 | PyObject *module_name = NULL; |
| 1749 | PyObject *module = NULL; |
| 1750 | PyObject *cls; |
| 1751 | int status = 0; |
| 1752 | |
| 1753 | const char global_op = GLOBAL; |
| 1754 | |
| 1755 | if (name_str == NULL) { |
| 1756 | name_str = PyUnicode_InternFromString("__name__"); |
| 1757 | if (name_str == NULL) |
| 1758 | goto error; |
| 1759 | } |
| 1760 | |
| 1761 | if (name) { |
| 1762 | global_name = name; |
| 1763 | Py_INCREF(global_name); |
| 1764 | } |
| 1765 | else { |
| 1766 | global_name = PyObject_GetAttr(obj, name_str); |
| 1767 | if (global_name == NULL) |
| 1768 | goto error; |
| 1769 | } |
| 1770 | |
| 1771 | module_name = whichmodule(obj, global_name); |
| 1772 | if (module_name == NULL) |
| 1773 | goto error; |
| 1774 | |
| 1775 | /* XXX: Change to use the import C API directly with level=0 to disallow |
| 1776 | relative imports. |
| 1777 | |
| 1778 | XXX: PyImport_ImportModuleLevel could be used. However, this bypasses |
| 1779 | builtins.__import__. Therefore, _pickle, unlike pickle.py, will ignore |
| 1780 | custom import functions (IMHO, this would be a nice security |
| 1781 | feature). The import C API would need to be extended to support the |
| 1782 | extra parameters of __import__ to fix that. */ |
| 1783 | module = PyImport_Import(module_name); |
| 1784 | if (module == NULL) { |
| 1785 | PyErr_Format(PicklingError, |
| 1786 | "Can't pickle %R: import of module %R failed", |
| 1787 | obj, module_name); |
| 1788 | goto error; |
| 1789 | } |
| 1790 | cls = PyObject_GetAttr(module, global_name); |
| 1791 | if (cls == NULL) { |
| 1792 | PyErr_Format(PicklingError, |
| 1793 | "Can't pickle %R: attribute lookup %S.%S failed", |
| 1794 | obj, module_name, global_name); |
| 1795 | goto error; |
| 1796 | } |
| 1797 | if (cls != obj) { |
| 1798 | Py_DECREF(cls); |
| 1799 | PyErr_Format(PicklingError, |
| 1800 | "Can't pickle %R: it's not the same object as %S.%S", |
| 1801 | obj, module_name, global_name); |
| 1802 | goto error; |
| 1803 | } |
| 1804 | Py_DECREF(cls); |
| 1805 | |
| 1806 | if (self->proto >= 2) { |
| 1807 | /* See whether this is in the extension registry, and if |
| 1808 | * so generate an EXT opcode. |
| 1809 | */ |
| 1810 | PyObject *code_obj; /* extension code as Python object */ |
| 1811 | long code; /* extension code as C value */ |
| 1812 | char pdata[5]; |
| 1813 | int n; |
| 1814 | |
| 1815 | PyTuple_SET_ITEM(two_tuple, 0, module_name); |
| 1816 | PyTuple_SET_ITEM(two_tuple, 1, global_name); |
| 1817 | code_obj = PyDict_GetItem(extension_registry, two_tuple); |
| 1818 | /* The object is not registered in the extension registry. |
| 1819 | This is the most likely code path. */ |
| 1820 | if (code_obj == NULL) |
| 1821 | goto gen_global; |
| 1822 | |
| 1823 | /* XXX: pickle.py doesn't check neither the type, nor the range |
| 1824 | of the value returned by the extension_registry. It should for |
| 1825 | consistency. */ |
| 1826 | |
| 1827 | /* Verify code_obj has the right type and value. */ |
| 1828 | if (!PyLong_Check(code_obj)) { |
| 1829 | PyErr_Format(PicklingError, |
| 1830 | "Can't pickle %R: extension code %R isn't an integer", |
| 1831 | obj, code_obj); |
| 1832 | goto error; |
| 1833 | } |
| 1834 | code = PyLong_AS_LONG(code_obj); |
| 1835 | if (code <= 0 || code > 0x7fffffffL) { |
| 1836 | PyErr_Format(PicklingError, |
| 1837 | "Can't pickle %R: extension code %ld is out of range", |
| 1838 | obj, code); |
| 1839 | goto error; |
| 1840 | } |
| 1841 | |
| 1842 | /* Generate an EXT opcode. */ |
| 1843 | if (code <= 0xff) { |
| 1844 | pdata[0] = EXT1; |
| 1845 | pdata[1] = (unsigned char)code; |
| 1846 | n = 2; |
| 1847 | } |
| 1848 | else if (code <= 0xffff) { |
| 1849 | pdata[0] = EXT2; |
| 1850 | pdata[1] = (unsigned char)(code & 0xff); |
| 1851 | pdata[2] = (unsigned char)((code >> 8) & 0xff); |
| 1852 | n = 3; |
| 1853 | } |
| 1854 | else { |
| 1855 | pdata[0] = EXT4; |
| 1856 | pdata[1] = (unsigned char)(code & 0xff); |
| 1857 | pdata[2] = (unsigned char)((code >> 8) & 0xff); |
| 1858 | pdata[3] = (unsigned char)((code >> 16) & 0xff); |
| 1859 | pdata[4] = (unsigned char)((code >> 24) & 0xff); |
| 1860 | n = 5; |
| 1861 | } |
| 1862 | |
| 1863 | if (pickler_write(self, pdata, n) < 0) |
| 1864 | goto error; |
| 1865 | } |
| 1866 | else { |
| 1867 | /* Generate a normal global opcode if we are using a pickle |
| 1868 | protocol <= 2, or if the object is not registered in the |
| 1869 | extension registry. */ |
| 1870 | PyObject *encoded; |
| 1871 | PyObject *(*unicode_encoder)(PyObject *); |
| 1872 | |
| 1873 | gen_global: |
| 1874 | if (pickler_write(self, &global_op, 1) < 0) |
| 1875 | goto error; |
| 1876 | |
| 1877 | /* Since Python 3.0 now supports non-ASCII identifiers, we encode both |
| 1878 | the module name and the global name using UTF-8. We do so only when |
| 1879 | we are using the pickle protocol newer than version 3. This is to |
| 1880 | ensure compatibility with older Unpickler running on Python 2.x. */ |
| 1881 | if (self->proto >= 3) { |
| 1882 | unicode_encoder = PyUnicode_AsUTF8String; |
| 1883 | } |
| 1884 | else { |
| 1885 | unicode_encoder = PyUnicode_AsASCIIString; |
| 1886 | } |
| 1887 | |
| 1888 | /* Save the name of the module. */ |
| 1889 | encoded = unicode_encoder(module_name); |
| 1890 | if (encoded == NULL) { |
| 1891 | if (PyErr_ExceptionMatches(PyExc_UnicodeEncodeError)) |
| 1892 | PyErr_Format(PicklingError, |
| 1893 | "can't pickle module identifier '%S' using " |
| 1894 | "pickle protocol %i", module_name, self->proto); |
| 1895 | goto error; |
| 1896 | } |
| 1897 | if (pickler_write(self, PyBytes_AS_STRING(encoded), |
| 1898 | PyBytes_GET_SIZE(encoded)) < 0) { |
| 1899 | Py_DECREF(encoded); |
| 1900 | goto error; |
| 1901 | } |
| 1902 | Py_DECREF(encoded); |
| 1903 | if(pickler_write(self, "\n", 1) < 0) |
| 1904 | goto error; |
| 1905 | |
| 1906 | /* Save the name of the module. */ |
| 1907 | encoded = unicode_encoder(global_name); |
| 1908 | if (encoded == NULL) { |
| 1909 | if (PyErr_ExceptionMatches(PyExc_UnicodeEncodeError)) |
| 1910 | PyErr_Format(PicklingError, |
| 1911 | "can't pickle global identifier '%S' using " |
| 1912 | "pickle protocol %i", global_name, self->proto); |
| 1913 | goto error; |
| 1914 | } |
| 1915 | if (pickler_write(self, PyBytes_AS_STRING(encoded), |
| 1916 | PyBytes_GET_SIZE(encoded)) < 0) { |
| 1917 | Py_DECREF(encoded); |
| 1918 | goto error; |
| 1919 | } |
| 1920 | Py_DECREF(encoded); |
| 1921 | if(pickler_write(self, "\n", 1) < 0) |
| 1922 | goto error; |
| 1923 | |
| 1924 | /* Memoize the object. */ |
| 1925 | if (memo_put(self, obj) < 0) |
| 1926 | goto error; |
| 1927 | } |
| 1928 | |
| 1929 | if (0) { |
| 1930 | error: |
| 1931 | status = -1; |
| 1932 | } |
| 1933 | Py_XDECREF(module_name); |
| 1934 | Py_XDECREF(global_name); |
| 1935 | Py_XDECREF(module); |
| 1936 | |
| 1937 | return status; |
| 1938 | } |
| 1939 | |
| 1940 | static int |
| 1941 | save_pers(PicklerObject *self, PyObject *obj, PyObject *func) |
| 1942 | { |
| 1943 | PyObject *pid = NULL; |
| 1944 | int status = 0; |
| 1945 | |
| 1946 | const char persid_op = PERSID; |
| 1947 | const char binpersid_op = BINPERSID; |
| 1948 | |
| 1949 | Py_INCREF(obj); |
| 1950 | pid = pickler_call(self, func, obj); |
| 1951 | if (pid == NULL) |
| 1952 | return -1; |
| 1953 | |
| 1954 | if (pid != Py_None) { |
| 1955 | if (self->bin) { |
| 1956 | if (save(self, pid, 1) < 0 || |
| 1957 | pickler_write(self, &binpersid_op, 1) < 0) |
| 1958 | goto error; |
| 1959 | } |
| 1960 | else { |
| 1961 | PyObject *pid_str = NULL; |
| 1962 | char *pid_ascii_bytes; |
| 1963 | Py_ssize_t size; |
| 1964 | |
| 1965 | pid_str = PyObject_Str(pid); |
| 1966 | if (pid_str == NULL) |
| 1967 | goto error; |
| 1968 | |
| 1969 | /* XXX: Should it check whether the persistent id only contains |
| 1970 | ASCII characters? And what if the pid contains embedded |
| 1971 | newlines? */ |
Marc-André Lemburg | 4cc0f24 | 2008-08-07 18:54:33 +0000 | [diff] [blame] | 1972 | pid_ascii_bytes = _PyUnicode_AsStringAndSize(pid_str, &size); |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 1973 | Py_DECREF(pid_str); |
| 1974 | if (pid_ascii_bytes == NULL) |
| 1975 | goto error; |
| 1976 | |
| 1977 | if (pickler_write(self, &persid_op, 1) < 0 || |
| 1978 | pickler_write(self, pid_ascii_bytes, size) < 0 || |
| 1979 | pickler_write(self, "\n", 1) < 0) |
| 1980 | goto error; |
| 1981 | } |
| 1982 | status = 1; |
| 1983 | } |
| 1984 | |
| 1985 | if (0) { |
| 1986 | error: |
| 1987 | status = -1; |
| 1988 | } |
| 1989 | Py_XDECREF(pid); |
| 1990 | |
| 1991 | return status; |
| 1992 | } |
| 1993 | |
| 1994 | /* We're saving obj, and args is the 2-thru-5 tuple returned by the |
| 1995 | * appropriate __reduce__ method for obj. |
| 1996 | */ |
| 1997 | static int |
| 1998 | save_reduce(PicklerObject *self, PyObject *args, PyObject *obj) |
| 1999 | { |
| 2000 | PyObject *callable; |
| 2001 | PyObject *argtup; |
| 2002 | PyObject *state = NULL; |
Amaury Forgeot d'Arc | 424b481 | 2008-10-30 22:25:31 +0000 | [diff] [blame] | 2003 | PyObject *listitems = Py_None; |
| 2004 | PyObject *dictitems = Py_None; |
Hirokazu Yamamoto | b46a633 | 2008-11-04 00:35:10 +0000 | [diff] [blame] | 2005 | Py_ssize_t size; |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 2006 | |
| 2007 | int use_newobj = self->proto >= 2; |
| 2008 | |
| 2009 | const char reduce_op = REDUCE; |
| 2010 | const char build_op = BUILD; |
| 2011 | const char newobj_op = NEWOBJ; |
| 2012 | |
Hirokazu Yamamoto | b46a633 | 2008-11-04 00:35:10 +0000 | [diff] [blame] | 2013 | size = PyTuple_Size(args); |
| 2014 | if (size < 2 || size > 5) { |
| 2015 | PyErr_SetString(PicklingError, "tuple returned by " |
| 2016 | "__reduce__ must contain 2 through 5 elements"); |
| 2017 | return -1; |
| 2018 | } |
| 2019 | |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 2020 | if (!PyArg_UnpackTuple(args, "save_reduce", 2, 5, |
| 2021 | &callable, &argtup, &state, &listitems, &dictitems)) |
| 2022 | return -1; |
| 2023 | |
| 2024 | if (!PyCallable_Check(callable)) { |
Amaury Forgeot d'Arc | 424b481 | 2008-10-30 22:25:31 +0000 | [diff] [blame] | 2025 | PyErr_SetString(PicklingError, "first item of the tuple " |
| 2026 | "returned by __reduce__ must be callable"); |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 2027 | return -1; |
| 2028 | } |
| 2029 | if (!PyTuple_Check(argtup)) { |
Amaury Forgeot d'Arc | 424b481 | 2008-10-30 22:25:31 +0000 | [diff] [blame] | 2030 | PyErr_SetString(PicklingError, "second item of the tuple " |
| 2031 | "returned by __reduce__ must be a tuple"); |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 2032 | return -1; |
| 2033 | } |
| 2034 | |
| 2035 | if (state == Py_None) |
| 2036 | state = NULL; |
Amaury Forgeot d'Arc | 424b481 | 2008-10-30 22:25:31 +0000 | [diff] [blame] | 2037 | |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 2038 | if (listitems == Py_None) |
| 2039 | listitems = NULL; |
Amaury Forgeot d'Arc | 424b481 | 2008-10-30 22:25:31 +0000 | [diff] [blame] | 2040 | else if (!PyIter_Check(listitems)) { |
| 2041 | PyErr_Format(PicklingError, "Fourth element of tuple" |
| 2042 | "returned by __reduce__ must be an iterator, not %s", |
| 2043 | Py_TYPE(listitems)->tp_name); |
| 2044 | return -1; |
| 2045 | } |
| 2046 | |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 2047 | if (dictitems == Py_None) |
| 2048 | dictitems = NULL; |
Amaury Forgeot d'Arc | 424b481 | 2008-10-30 22:25:31 +0000 | [diff] [blame] | 2049 | else if (!PyIter_Check(dictitems)) { |
| 2050 | PyErr_Format(PicklingError, "Fifth element of tuple" |
| 2051 | "returned by __reduce__ must be an iterator, not %s", |
| 2052 | Py_TYPE(dictitems)->tp_name); |
| 2053 | return -1; |
| 2054 | } |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 2055 | |
| 2056 | /* Protocol 2 special case: if callable's name is __newobj__, use |
| 2057 | NEWOBJ. */ |
| 2058 | if (use_newobj) { |
| 2059 | static PyObject *newobj_str = NULL; |
| 2060 | PyObject *name_str; |
| 2061 | |
| 2062 | if (newobj_str == NULL) { |
| 2063 | newobj_str = PyUnicode_InternFromString("__newobj__"); |
| 2064 | } |
| 2065 | |
| 2066 | name_str = PyObject_GetAttrString(callable, "__name__"); |
| 2067 | if (name_str == NULL) { |
| 2068 | if (PyErr_ExceptionMatches(PyExc_AttributeError)) |
| 2069 | PyErr_Clear(); |
| 2070 | else |
| 2071 | return -1; |
| 2072 | use_newobj = 0; |
| 2073 | } |
| 2074 | else { |
| 2075 | use_newobj = PyUnicode_Check(name_str) && |
| 2076 | PyUnicode_Compare(name_str, newobj_str) == 0; |
| 2077 | Py_DECREF(name_str); |
| 2078 | } |
| 2079 | } |
| 2080 | if (use_newobj) { |
| 2081 | PyObject *cls; |
| 2082 | PyObject *newargtup; |
| 2083 | PyObject *obj_class; |
| 2084 | int p; |
| 2085 | |
| 2086 | /* Sanity checks. */ |
| 2087 | if (Py_SIZE(argtup) < 1) { |
| 2088 | PyErr_SetString(PicklingError, "__newobj__ arglist is empty"); |
| 2089 | return -1; |
| 2090 | } |
| 2091 | |
| 2092 | cls = PyTuple_GET_ITEM(argtup, 0); |
| 2093 | if (!PyObject_HasAttrString(cls, "__new__")) { |
| 2094 | PyErr_SetString(PicklingError, "args[0] from " |
| 2095 | "__newobj__ args has no __new__"); |
| 2096 | return -1; |
| 2097 | } |
| 2098 | |
| 2099 | if (obj != NULL) { |
| 2100 | obj_class = PyObject_GetAttrString(obj, "__class__"); |
| 2101 | if (obj_class == NULL) { |
| 2102 | if (PyErr_ExceptionMatches(PyExc_AttributeError)) |
| 2103 | PyErr_Clear(); |
| 2104 | else |
| 2105 | return -1; |
| 2106 | } |
| 2107 | p = obj_class != cls; /* true iff a problem */ |
| 2108 | Py_DECREF(obj_class); |
| 2109 | if (p) { |
| 2110 | PyErr_SetString(PicklingError, "args[0] from " |
| 2111 | "__newobj__ args has the wrong class"); |
| 2112 | return -1; |
| 2113 | } |
| 2114 | } |
| 2115 | /* XXX: These calls save() are prone to infinite recursion. Imagine |
| 2116 | what happen if the value returned by the __reduce__() method of |
| 2117 | some extension type contains another object of the same type. Ouch! |
| 2118 | |
| 2119 | Here is a quick example, that I ran into, to illustrate what I |
| 2120 | mean: |
| 2121 | |
| 2122 | >>> import pickle, copyreg |
| 2123 | >>> copyreg.dispatch_table.pop(complex) |
| 2124 | >>> pickle.dumps(1+2j) |
| 2125 | Traceback (most recent call last): |
| 2126 | ... |
| 2127 | RuntimeError: maximum recursion depth exceeded |
| 2128 | |
| 2129 | Removing the complex class from copyreg.dispatch_table made the |
| 2130 | __reduce_ex__() method emit another complex object: |
| 2131 | |
| 2132 | >>> (1+1j).__reduce_ex__(2) |
| 2133 | (<function __newobj__ at 0xb7b71c3c>, |
| 2134 | (<class 'complex'>, (1+1j)), None, None, None) |
| 2135 | |
| 2136 | Thus when save() was called on newargstup (the 2nd item) recursion |
| 2137 | ensued. Of course, the bug was in the complex class which had a |
| 2138 | broken __getnewargs__() that emitted another complex object. But, |
| 2139 | the point, here, is it is quite easy to end up with a broken reduce |
| 2140 | function. */ |
| 2141 | |
| 2142 | /* Save the class and its __new__ arguments. */ |
| 2143 | if (save(self, cls, 0) < 0) |
| 2144 | return -1; |
| 2145 | |
| 2146 | newargtup = PyTuple_GetSlice(argtup, 1, Py_SIZE(argtup)); |
| 2147 | if (newargtup == NULL) |
| 2148 | return -1; |
| 2149 | |
| 2150 | p = save(self, newargtup, 0); |
| 2151 | Py_DECREF(newargtup); |
| 2152 | if (p < 0) |
| 2153 | return -1; |
| 2154 | |
| 2155 | /* Add NEWOBJ opcode. */ |
| 2156 | if (pickler_write(self, &newobj_op, 1) < 0) |
| 2157 | return -1; |
| 2158 | } |
| 2159 | else { /* Not using NEWOBJ. */ |
| 2160 | if (save(self, callable, 0) < 0 || |
| 2161 | save(self, argtup, 0) < 0 || |
| 2162 | pickler_write(self, &reduce_op, 1) < 0) |
| 2163 | return -1; |
| 2164 | } |
| 2165 | |
| 2166 | /* obj can be NULL when save_reduce() is used directly. A NULL obj means |
| 2167 | the caller do not want to memoize the object. Not particularly useful, |
| 2168 | but that is to mimic the behavior save_reduce() in pickle.py when |
| 2169 | obj is None. */ |
| 2170 | if (obj && memo_put(self, obj) < 0) |
| 2171 | return -1; |
| 2172 | |
| 2173 | if (listitems && batch_list(self, listitems) < 0) |
| 2174 | return -1; |
| 2175 | |
| 2176 | if (dictitems && batch_dict(self, dictitems) < 0) |
| 2177 | return -1; |
| 2178 | |
| 2179 | if (state) { |
| 2180 | if (save(self, state, 0) < 0 || |
| 2181 | pickler_write(self, &build_op, 1) < 0) |
| 2182 | return -1; |
| 2183 | } |
| 2184 | |
| 2185 | return 0; |
| 2186 | } |
| 2187 | |
| 2188 | static int |
| 2189 | save(PicklerObject *self, PyObject *obj, int pers_save) |
| 2190 | { |
| 2191 | PyTypeObject *type; |
| 2192 | PyObject *reduce_func = NULL; |
| 2193 | PyObject *reduce_value = NULL; |
| 2194 | PyObject *memo_key = NULL; |
| 2195 | int status = 0; |
| 2196 | |
Alexandre Vassalotti | dff1834 | 2008-07-13 18:48:30 +0000 | [diff] [blame] | 2197 | if (Py_EnterRecursiveCall(" while pickling an object") < 0) |
| 2198 | return -1; |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 2199 | |
| 2200 | /* The extra pers_save argument is necessary to avoid calling save_pers() |
| 2201 | on its returned object. */ |
| 2202 | if (!pers_save && self->pers_func) { |
| 2203 | /* save_pers() returns: |
| 2204 | -1 to signal an error; |
| 2205 | 0 if it did nothing successfully; |
| 2206 | 1 if a persistent id was saved. |
| 2207 | */ |
| 2208 | if ((status = save_pers(self, obj, self->pers_func)) != 0) |
| 2209 | goto done; |
| 2210 | } |
| 2211 | |
| 2212 | type = Py_TYPE(obj); |
| 2213 | |
| 2214 | /* XXX: The old cPickle had an optimization that used switch-case |
| 2215 | statement dispatching on the first letter of the type name. It was |
| 2216 | probably not a bad idea after all. If benchmarks shows that particular |
| 2217 | optimization had some real benefits, it would be nice to add it |
| 2218 | back. */ |
| 2219 | |
| 2220 | /* Atom types; these aren't memoized, so don't check the memo. */ |
| 2221 | |
| 2222 | if (obj == Py_None) { |
| 2223 | status = save_none(self, obj); |
| 2224 | goto done; |
| 2225 | } |
| 2226 | else if (obj == Py_False || obj == Py_True) { |
| 2227 | status = save_bool(self, obj); |
| 2228 | goto done; |
| 2229 | } |
| 2230 | else if (type == &PyLong_Type) { |
| 2231 | status = save_long(self, obj); |
| 2232 | goto done; |
| 2233 | } |
| 2234 | else if (type == &PyFloat_Type) { |
| 2235 | status = save_float(self, obj); |
| 2236 | goto done; |
| 2237 | } |
| 2238 | |
| 2239 | /* Check the memo to see if it has the object. If so, generate |
| 2240 | a GET (or BINGET) opcode, instead of pickling the object |
| 2241 | once again. */ |
| 2242 | memo_key = PyLong_FromVoidPtr(obj); |
| 2243 | if (memo_key == NULL) |
| 2244 | goto error; |
| 2245 | if (PyDict_GetItem(self->memo, memo_key)) { |
| 2246 | if (memo_get(self, memo_key) < 0) |
| 2247 | goto error; |
| 2248 | goto done; |
| 2249 | } |
| 2250 | |
| 2251 | if (type == &PyBytes_Type) { |
| 2252 | status = save_bytes(self, obj); |
| 2253 | goto done; |
| 2254 | } |
| 2255 | else if (type == &PyUnicode_Type) { |
| 2256 | status = save_unicode(self, obj); |
| 2257 | goto done; |
| 2258 | } |
| 2259 | else if (type == &PyDict_Type) { |
| 2260 | status = save_dict(self, obj); |
| 2261 | goto done; |
| 2262 | } |
| 2263 | else if (type == &PyList_Type) { |
| 2264 | status = save_list(self, obj); |
| 2265 | goto done; |
| 2266 | } |
| 2267 | else if (type == &PyTuple_Type) { |
| 2268 | status = save_tuple(self, obj); |
| 2269 | goto done; |
| 2270 | } |
| 2271 | else if (type == &PyType_Type) { |
| 2272 | status = save_global(self, obj, NULL); |
| 2273 | goto done; |
| 2274 | } |
| 2275 | else if (type == &PyFunction_Type) { |
| 2276 | status = save_global(self, obj, NULL); |
| 2277 | if (status < 0 && PyErr_ExceptionMatches(PickleError)) { |
| 2278 | /* fall back to reduce */ |
| 2279 | PyErr_Clear(); |
| 2280 | } |
| 2281 | else { |
| 2282 | goto done; |
| 2283 | } |
| 2284 | } |
| 2285 | else if (type == &PyCFunction_Type) { |
| 2286 | status = save_global(self, obj, NULL); |
| 2287 | goto done; |
| 2288 | } |
| 2289 | else if (PyType_IsSubtype(type, &PyType_Type)) { |
| 2290 | status = save_global(self, obj, NULL); |
| 2291 | goto done; |
| 2292 | } |
| 2293 | |
| 2294 | /* XXX: This part needs some unit tests. */ |
| 2295 | |
| 2296 | /* Get a reduction callable, and call it. This may come from |
| 2297 | * copyreg.dispatch_table, the object's __reduce_ex__ method, |
| 2298 | * or the object's __reduce__ method. |
| 2299 | */ |
| 2300 | reduce_func = PyDict_GetItem(dispatch_table, (PyObject *)type); |
| 2301 | if (reduce_func != NULL) { |
| 2302 | /* Here, the reference count of the reduce_func object returned by |
| 2303 | PyDict_GetItem needs to be increased to be consistent with the one |
| 2304 | returned by PyObject_GetAttr. This is allow us to blindly DECREF |
| 2305 | reduce_func at the end of the save() routine. |
| 2306 | */ |
| 2307 | Py_INCREF(reduce_func); |
| 2308 | Py_INCREF(obj); |
| 2309 | reduce_value = pickler_call(self, reduce_func, obj); |
| 2310 | } |
| 2311 | else { |
| 2312 | static PyObject *reduce_str = NULL; |
| 2313 | static PyObject *reduce_ex_str = NULL; |
| 2314 | |
| 2315 | /* Cache the name of the reduce methods. */ |
| 2316 | if (reduce_str == NULL) { |
| 2317 | reduce_str = PyUnicode_InternFromString("__reduce__"); |
| 2318 | if (reduce_str == NULL) |
| 2319 | goto error; |
| 2320 | reduce_ex_str = PyUnicode_InternFromString("__reduce_ex__"); |
| 2321 | if (reduce_ex_str == NULL) |
| 2322 | goto error; |
| 2323 | } |
| 2324 | |
| 2325 | /* XXX: If the __reduce__ method is defined, __reduce_ex__ is |
| 2326 | automatically defined as __reduce__. While this is convenient, this |
| 2327 | make it impossible to know which method was actually called. Of |
| 2328 | course, this is not a big deal. But still, it would be nice to let |
| 2329 | the user know which method was called when something go |
| 2330 | wrong. Incidentally, this means if __reduce_ex__ is not defined, we |
| 2331 | don't actually have to check for a __reduce__ method. */ |
| 2332 | |
| 2333 | /* Check for a __reduce_ex__ method. */ |
| 2334 | reduce_func = PyObject_GetAttr(obj, reduce_ex_str); |
| 2335 | if (reduce_func != NULL) { |
| 2336 | PyObject *proto; |
| 2337 | proto = PyLong_FromLong(self->proto); |
| 2338 | if (proto != NULL) { |
| 2339 | reduce_value = pickler_call(self, reduce_func, proto); |
| 2340 | } |
| 2341 | } |
| 2342 | else { |
| 2343 | if (PyErr_ExceptionMatches(PyExc_AttributeError)) |
| 2344 | PyErr_Clear(); |
| 2345 | else |
| 2346 | goto error; |
| 2347 | /* Check for a __reduce__ method. */ |
| 2348 | reduce_func = PyObject_GetAttr(obj, reduce_str); |
| 2349 | if (reduce_func != NULL) { |
| 2350 | reduce_value = PyObject_Call(reduce_func, empty_tuple, NULL); |
| 2351 | } |
| 2352 | else { |
| 2353 | PyErr_Format(PicklingError, "can't pickle '%.200s' object: %R", |
| 2354 | type->tp_name, obj); |
| 2355 | goto error; |
| 2356 | } |
| 2357 | } |
| 2358 | } |
| 2359 | |
| 2360 | if (reduce_value == NULL) |
| 2361 | goto error; |
| 2362 | |
| 2363 | if (PyUnicode_Check(reduce_value)) { |
| 2364 | status = save_global(self, obj, reduce_value); |
| 2365 | goto done; |
| 2366 | } |
| 2367 | |
| 2368 | if (!PyTuple_Check(reduce_value)) { |
| 2369 | PyErr_SetString(PicklingError, |
| 2370 | "__reduce__ must return a string or tuple"); |
| 2371 | goto error; |
| 2372 | } |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 2373 | |
| 2374 | status = save_reduce(self, reduce_value, obj); |
| 2375 | |
| 2376 | if (0) { |
| 2377 | error: |
| 2378 | status = -1; |
| 2379 | } |
| 2380 | done: |
Alexandre Vassalotti | dff1834 | 2008-07-13 18:48:30 +0000 | [diff] [blame] | 2381 | Py_LeaveRecursiveCall(); |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 2382 | Py_XDECREF(memo_key); |
| 2383 | Py_XDECREF(reduce_func); |
| 2384 | Py_XDECREF(reduce_value); |
| 2385 | |
| 2386 | return status; |
| 2387 | } |
| 2388 | |
| 2389 | static int |
| 2390 | dump(PicklerObject *self, PyObject *obj) |
| 2391 | { |
| 2392 | const char stop_op = STOP; |
| 2393 | |
| 2394 | if (self->proto >= 2) { |
| 2395 | char header[2]; |
| 2396 | |
| 2397 | header[0] = PROTO; |
| 2398 | assert(self->proto >= 0 && self->proto < 256); |
| 2399 | header[1] = (unsigned char)self->proto; |
| 2400 | if (pickler_write(self, header, 2) < 0) |
| 2401 | return -1; |
| 2402 | } |
| 2403 | |
| 2404 | if (save(self, obj, 0) < 0 || |
| 2405 | pickler_write(self, &stop_op, 1) < 0 || |
| 2406 | pickler_write(self, NULL, 0) < 0) |
| 2407 | return -1; |
| 2408 | |
| 2409 | return 0; |
| 2410 | } |
| 2411 | |
| 2412 | PyDoc_STRVAR(Pickler_clear_memo_doc, |
| 2413 | "clear_memo() -> None. Clears the pickler's \"memo\"." |
| 2414 | "\n" |
| 2415 | "The memo is the data structure that remembers which objects the\n" |
| 2416 | "pickler has already seen, so that shared or recursive objects are\n" |
| 2417 | "pickled by reference and not by value. This method is useful when\n" |
| 2418 | "re-using picklers."); |
| 2419 | |
| 2420 | static PyObject * |
| 2421 | Pickler_clear_memo(PicklerObject *self) |
| 2422 | { |
| 2423 | if (self->memo) |
| 2424 | PyDict_Clear(self->memo); |
| 2425 | |
| 2426 | Py_RETURN_NONE; |
| 2427 | } |
| 2428 | |
| 2429 | PyDoc_STRVAR(Pickler_dump_doc, |
| 2430 | "dump(obj) -> None. Write a pickled representation of obj to the open file."); |
| 2431 | |
| 2432 | static PyObject * |
| 2433 | Pickler_dump(PicklerObject *self, PyObject *args) |
| 2434 | { |
| 2435 | PyObject *obj; |
| 2436 | |
Amaury Forgeot d'Arc | 87eee63 | 2008-10-17 20:15:53 +0000 | [diff] [blame] | 2437 | /* Check whether the Pickler was initialized correctly (issue3664). |
| 2438 | Developers often forget to call __init__() in their subclasses, which |
| 2439 | would trigger a segfault without this check. */ |
| 2440 | if (self->write == NULL) { |
| 2441 | PyErr_Format(PicklingError, |
| 2442 | "Pickler.__init__() was not called by %s.__init__()", |
| 2443 | Py_TYPE(self)->tp_name); |
| 2444 | return NULL; |
| 2445 | } |
| 2446 | |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 2447 | if (!PyArg_ParseTuple(args, "O:dump", &obj)) |
| 2448 | return NULL; |
| 2449 | |
| 2450 | if (dump(self, obj) < 0) |
| 2451 | return NULL; |
| 2452 | |
| 2453 | Py_RETURN_NONE; |
| 2454 | } |
| 2455 | |
| 2456 | static struct PyMethodDef Pickler_methods[] = { |
| 2457 | {"dump", (PyCFunction)Pickler_dump, METH_VARARGS, |
| 2458 | Pickler_dump_doc}, |
| 2459 | {"clear_memo", (PyCFunction)Pickler_clear_memo, METH_NOARGS, |
| 2460 | Pickler_clear_memo_doc}, |
| 2461 | {NULL, NULL} /* sentinel */ |
| 2462 | }; |
| 2463 | |
| 2464 | static void |
| 2465 | Pickler_dealloc(PicklerObject *self) |
| 2466 | { |
| 2467 | PyObject_GC_UnTrack(self); |
| 2468 | |
| 2469 | Py_XDECREF(self->write); |
| 2470 | Py_XDECREF(self->memo); |
| 2471 | Py_XDECREF(self->pers_func); |
| 2472 | Py_XDECREF(self->arg); |
| 2473 | Py_XDECREF(self->fast_memo); |
| 2474 | |
| 2475 | PyMem_Free(self->write_buf); |
| 2476 | |
| 2477 | Py_TYPE(self)->tp_free((PyObject *)self); |
| 2478 | } |
| 2479 | |
| 2480 | static int |
| 2481 | Pickler_traverse(PicklerObject *self, visitproc visit, void *arg) |
| 2482 | { |
| 2483 | Py_VISIT(self->write); |
| 2484 | Py_VISIT(self->memo); |
| 2485 | Py_VISIT(self->pers_func); |
| 2486 | Py_VISIT(self->arg); |
| 2487 | Py_VISIT(self->fast_memo); |
| 2488 | return 0; |
| 2489 | } |
| 2490 | |
| 2491 | static int |
| 2492 | Pickler_clear(PicklerObject *self) |
| 2493 | { |
| 2494 | Py_CLEAR(self->write); |
| 2495 | Py_CLEAR(self->memo); |
| 2496 | Py_CLEAR(self->pers_func); |
| 2497 | Py_CLEAR(self->arg); |
| 2498 | Py_CLEAR(self->fast_memo); |
| 2499 | |
| 2500 | PyMem_Free(self->write_buf); |
| 2501 | self->write_buf = NULL; |
| 2502 | |
| 2503 | return 0; |
| 2504 | } |
| 2505 | |
| 2506 | PyDoc_STRVAR(Pickler_doc, |
| 2507 | "Pickler(file, protocol=None)" |
| 2508 | "\n" |
| 2509 | "This takes a binary file for writing a pickle data stream.\n" |
| 2510 | "\n" |
| 2511 | "The optional protocol argument tells the pickler to use the\n" |
| 2512 | "given protocol; supported protocols are 0, 1, 2, 3. The default\n" |
| 2513 | "protocol is 3; a backward-incompatible protocol designed for\n" |
| 2514 | "Python 3.0.\n" |
| 2515 | "\n" |
| 2516 | "Specifying a negative protocol version selects the highest\n" |
| 2517 | "protocol version supported. The higher the protocol used, the\n" |
| 2518 | "more recent the version of Python needed to read the pickle\n" |
| 2519 | "produced.\n" |
| 2520 | "\n" |
| 2521 | "The file argument must have a write() method that accepts a single\n" |
| 2522 | "bytes argument. It can thus be a file object opened for binary\n" |
| 2523 | "writing, a io.BytesIO instance, or any other custom object that\n" |
| 2524 | "meets this interface.\n"); |
| 2525 | |
| 2526 | static int |
| 2527 | Pickler_init(PicklerObject *self, PyObject *args, PyObject *kwds) |
| 2528 | { |
| 2529 | static char *kwlist[] = {"file", "protocol", 0}; |
| 2530 | PyObject *file; |
| 2531 | PyObject *proto_obj = NULL; |
| 2532 | long proto = 0; |
| 2533 | |
| 2534 | if (!PyArg_ParseTupleAndKeywords(args, kwds, "O|O:Pickler", |
| 2535 | kwlist, &file, &proto_obj)) |
| 2536 | return -1; |
| 2537 | |
| 2538 | /* In case of multiple __init__() calls, clear previous content. */ |
| 2539 | if (self->write != NULL) |
| 2540 | (void)Pickler_clear(self); |
| 2541 | |
| 2542 | if (proto_obj == NULL || proto_obj == Py_None) |
| 2543 | proto = DEFAULT_PROTOCOL; |
| 2544 | else |
| 2545 | proto = PyLong_AsLong(proto_obj); |
| 2546 | |
| 2547 | if (proto < 0) |
| 2548 | proto = HIGHEST_PROTOCOL; |
| 2549 | if (proto > HIGHEST_PROTOCOL) { |
| 2550 | PyErr_Format(PyExc_ValueError, "pickle protocol must be <= %d", |
| 2551 | HIGHEST_PROTOCOL); |
| 2552 | return -1; |
| 2553 | } |
| 2554 | |
| 2555 | self->proto = proto; |
| 2556 | self->bin = proto > 0; |
| 2557 | self->arg = NULL; |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 2558 | self->fast = 0; |
| 2559 | self->fast_nesting = 0; |
| 2560 | self->fast_memo = NULL; |
| 2561 | |
| 2562 | if (!PyObject_HasAttrString(file, "write")) { |
| 2563 | PyErr_SetString(PyExc_TypeError, |
| 2564 | "file must have a 'write' attribute"); |
| 2565 | return -1; |
| 2566 | } |
| 2567 | self->write = PyObject_GetAttrString(file, "write"); |
| 2568 | if (self->write == NULL) |
| 2569 | return -1; |
| 2570 | self->buf_size = 0; |
| 2571 | self->write_buf = (char *)PyMem_Malloc(WRITE_BUF_SIZE); |
| 2572 | if (self->write_buf == NULL) { |
| 2573 | PyErr_NoMemory(); |
| 2574 | return -1; |
| 2575 | } |
| 2576 | self->pers_func = NULL; |
| 2577 | if (PyObject_HasAttrString((PyObject *)self, "persistent_id")) { |
| 2578 | self->pers_func = PyObject_GetAttrString((PyObject *)self, |
| 2579 | "persistent_id"); |
| 2580 | if (self->pers_func == NULL) |
| 2581 | return -1; |
| 2582 | } |
| 2583 | self->memo = PyDict_New(); |
| 2584 | if (self->memo == NULL) |
| 2585 | return -1; |
| 2586 | |
| 2587 | return 0; |
| 2588 | } |
| 2589 | |
| 2590 | static PyObject * |
| 2591 | Pickler_get_memo(PicklerObject *self) |
| 2592 | { |
| 2593 | if (self->memo == NULL) |
| 2594 | PyErr_SetString(PyExc_AttributeError, "memo"); |
| 2595 | else |
| 2596 | Py_INCREF(self->memo); |
| 2597 | return self->memo; |
| 2598 | } |
| 2599 | |
| 2600 | static int |
| 2601 | Pickler_set_memo(PicklerObject *self, PyObject *value) |
| 2602 | { |
| 2603 | PyObject *tmp; |
| 2604 | |
| 2605 | if (value == NULL) { |
| 2606 | PyErr_SetString(PyExc_TypeError, |
| 2607 | "attribute deletion is not supported"); |
| 2608 | return -1; |
| 2609 | } |
| 2610 | if (!PyDict_Check(value)) { |
| 2611 | PyErr_SetString(PyExc_TypeError, "memo must be a dictionary"); |
| 2612 | return -1; |
| 2613 | } |
| 2614 | |
| 2615 | tmp = self->memo; |
| 2616 | Py_INCREF(value); |
| 2617 | self->memo = value; |
| 2618 | Py_XDECREF(tmp); |
| 2619 | |
| 2620 | return 0; |
| 2621 | } |
| 2622 | |
| 2623 | static PyObject * |
| 2624 | Pickler_get_persid(PicklerObject *self) |
| 2625 | { |
| 2626 | if (self->pers_func == NULL) |
| 2627 | PyErr_SetString(PyExc_AttributeError, "persistent_id"); |
| 2628 | else |
| 2629 | Py_INCREF(self->pers_func); |
| 2630 | return self->pers_func; |
| 2631 | } |
| 2632 | |
| 2633 | static int |
| 2634 | Pickler_set_persid(PicklerObject *self, PyObject *value) |
| 2635 | { |
| 2636 | PyObject *tmp; |
| 2637 | |
| 2638 | if (value == NULL) { |
| 2639 | PyErr_SetString(PyExc_TypeError, |
| 2640 | "attribute deletion is not supported"); |
| 2641 | return -1; |
| 2642 | } |
| 2643 | if (!PyCallable_Check(value)) { |
| 2644 | PyErr_SetString(PyExc_TypeError, |
| 2645 | "persistent_id must be a callable taking one argument"); |
| 2646 | return -1; |
| 2647 | } |
| 2648 | |
| 2649 | tmp = self->pers_func; |
| 2650 | Py_INCREF(value); |
| 2651 | self->pers_func = value; |
| 2652 | Py_XDECREF(tmp); /* self->pers_func can be NULL, so be careful. */ |
| 2653 | |
| 2654 | return 0; |
| 2655 | } |
| 2656 | |
| 2657 | static PyMemberDef Pickler_members[] = { |
| 2658 | {"bin", T_INT, offsetof(PicklerObject, bin)}, |
| 2659 | {"fast", T_INT, offsetof(PicklerObject, fast)}, |
| 2660 | {NULL} |
| 2661 | }; |
| 2662 | |
| 2663 | static PyGetSetDef Pickler_getsets[] = { |
| 2664 | {"memo", (getter)Pickler_get_memo, |
| 2665 | (setter)Pickler_set_memo}, |
| 2666 | {"persistent_id", (getter)Pickler_get_persid, |
| 2667 | (setter)Pickler_set_persid}, |
| 2668 | {NULL} |
| 2669 | }; |
| 2670 | |
| 2671 | static PyTypeObject Pickler_Type = { |
| 2672 | PyVarObject_HEAD_INIT(NULL, 0) |
| 2673 | "_pickle.Pickler" , /*tp_name*/ |
| 2674 | sizeof(PicklerObject), /*tp_basicsize*/ |
| 2675 | 0, /*tp_itemsize*/ |
| 2676 | (destructor)Pickler_dealloc, /*tp_dealloc*/ |
| 2677 | 0, /*tp_print*/ |
| 2678 | 0, /*tp_getattr*/ |
| 2679 | 0, /*tp_setattr*/ |
Mark Dickinson | e94c679 | 2009-02-02 20:36:42 +0000 | [diff] [blame] | 2680 | 0, /*tp_reserved*/ |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 2681 | 0, /*tp_repr*/ |
| 2682 | 0, /*tp_as_number*/ |
| 2683 | 0, /*tp_as_sequence*/ |
| 2684 | 0, /*tp_as_mapping*/ |
| 2685 | 0, /*tp_hash*/ |
| 2686 | 0, /*tp_call*/ |
| 2687 | 0, /*tp_str*/ |
| 2688 | 0, /*tp_getattro*/ |
| 2689 | 0, /*tp_setattro*/ |
| 2690 | 0, /*tp_as_buffer*/ |
| 2691 | Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE | Py_TPFLAGS_HAVE_GC, |
| 2692 | Pickler_doc, /*tp_doc*/ |
| 2693 | (traverseproc)Pickler_traverse, /*tp_traverse*/ |
| 2694 | (inquiry)Pickler_clear, /*tp_clear*/ |
| 2695 | 0, /*tp_richcompare*/ |
| 2696 | 0, /*tp_weaklistoffset*/ |
| 2697 | 0, /*tp_iter*/ |
| 2698 | 0, /*tp_iternext*/ |
| 2699 | Pickler_methods, /*tp_methods*/ |
| 2700 | Pickler_members, /*tp_members*/ |
| 2701 | Pickler_getsets, /*tp_getset*/ |
| 2702 | 0, /*tp_base*/ |
| 2703 | 0, /*tp_dict*/ |
| 2704 | 0, /*tp_descr_get*/ |
| 2705 | 0, /*tp_descr_set*/ |
| 2706 | 0, /*tp_dictoffset*/ |
| 2707 | (initproc)Pickler_init, /*tp_init*/ |
| 2708 | PyType_GenericAlloc, /*tp_alloc*/ |
| 2709 | PyType_GenericNew, /*tp_new*/ |
| 2710 | PyObject_GC_Del, /*tp_free*/ |
| 2711 | 0, /*tp_is_gc*/ |
| 2712 | }; |
| 2713 | |
| 2714 | /* Temporary helper for calling self.find_class(). |
| 2715 | |
| 2716 | XXX: It would be nice to able to avoid Python function call overhead, by |
| 2717 | using directly the C version of find_class(), when find_class() is not |
| 2718 | overridden by a subclass. Although, this could become rather hackish. A |
| 2719 | simpler optimization would be to call the C function when self is not a |
| 2720 | subclass instance. */ |
| 2721 | static PyObject * |
| 2722 | find_class(UnpicklerObject *self, PyObject *module_name, PyObject *global_name) |
| 2723 | { |
| 2724 | return PyObject_CallMethod((PyObject *)self, "find_class", "OO", |
| 2725 | module_name, global_name); |
| 2726 | } |
| 2727 | |
| 2728 | static int |
| 2729 | marker(UnpicklerObject *self) |
| 2730 | { |
| 2731 | if (self->num_marks < 1) { |
| 2732 | PyErr_SetString(UnpicklingError, "could not find MARK"); |
| 2733 | return -1; |
| 2734 | } |
| 2735 | |
| 2736 | return self->marks[--self->num_marks]; |
| 2737 | } |
| 2738 | |
| 2739 | static int |
| 2740 | load_none(UnpicklerObject *self) |
| 2741 | { |
| 2742 | PDATA_APPEND(self->stack, Py_None, -1); |
| 2743 | return 0; |
| 2744 | } |
| 2745 | |
| 2746 | static int |
| 2747 | bad_readline(void) |
| 2748 | { |
| 2749 | PyErr_SetString(UnpicklingError, "pickle data was truncated"); |
| 2750 | return -1; |
| 2751 | } |
| 2752 | |
| 2753 | static int |
| 2754 | load_int(UnpicklerObject *self) |
| 2755 | { |
| 2756 | PyObject *value; |
| 2757 | char *endptr, *s; |
| 2758 | Py_ssize_t len; |
| 2759 | long x; |
| 2760 | |
| 2761 | if ((len = unpickler_readline(self, &s)) < 0) |
| 2762 | return -1; |
| 2763 | if (len < 2) |
| 2764 | return bad_readline(); |
| 2765 | |
| 2766 | errno = 0; |
| 2767 | /* XXX: Should the base argument of strtol() be explicitly set to 10? */ |
| 2768 | x = strtol(s, &endptr, 0); |
| 2769 | |
| 2770 | if (errno || (*endptr != '\n') || (endptr[1] != '\0')) { |
| 2771 | /* Hm, maybe we've got something long. Let's try reading |
| 2772 | * it as a Python long object. */ |
| 2773 | errno = 0; |
| 2774 | /* XXX: Same thing about the base here. */ |
| 2775 | value = PyLong_FromString(s, NULL, 0); |
| 2776 | if (value == NULL) { |
| 2777 | PyErr_SetString(PyExc_ValueError, |
| 2778 | "could not convert string to int"); |
| 2779 | return -1; |
| 2780 | } |
| 2781 | } |
| 2782 | else { |
| 2783 | if (len == 3 && (x == 0 || x == 1)) { |
| 2784 | if ((value = PyBool_FromLong(x)) == NULL) |
| 2785 | return -1; |
| 2786 | } |
| 2787 | else { |
| 2788 | if ((value = PyLong_FromLong(x)) == NULL) |
| 2789 | return -1; |
| 2790 | } |
| 2791 | } |
| 2792 | |
| 2793 | PDATA_PUSH(self->stack, value, -1); |
| 2794 | return 0; |
| 2795 | } |
| 2796 | |
| 2797 | static int |
| 2798 | load_bool(UnpicklerObject *self, PyObject *boolean) |
| 2799 | { |
| 2800 | assert(boolean == Py_True || boolean == Py_False); |
| 2801 | PDATA_APPEND(self->stack, boolean, -1); |
| 2802 | return 0; |
| 2803 | } |
| 2804 | |
| 2805 | /* s contains x bytes of a little-endian integer. Return its value as a |
| 2806 | * C int. Obscure: when x is 1 or 2, this is an unsigned little-endian |
| 2807 | * int, but when x is 4 it's a signed one. This is an historical source |
| 2808 | * of x-platform bugs. |
| 2809 | */ |
| 2810 | static long |
| 2811 | calc_binint(char *bytes, int size) |
| 2812 | { |
| 2813 | unsigned char *s = (unsigned char *)bytes; |
| 2814 | int i = size; |
| 2815 | long x = 0; |
| 2816 | |
| 2817 | for (i = 0; i < size; i++) { |
| 2818 | x |= (long)s[i] << (i * 8); |
| 2819 | } |
| 2820 | |
| 2821 | /* Unlike BININT1 and BININT2, BININT (more accurately BININT4) |
| 2822 | * is signed, so on a box with longs bigger than 4 bytes we need |
| 2823 | * to extend a BININT's sign bit to the full width. |
| 2824 | */ |
| 2825 | if (SIZEOF_LONG > 4 && size == 4) { |
| 2826 | x |= -(x & (1L << 31)); |
| 2827 | } |
| 2828 | |
| 2829 | return x; |
| 2830 | } |
| 2831 | |
| 2832 | static int |
| 2833 | load_binintx(UnpicklerObject *self, char *s, int size) |
| 2834 | { |
| 2835 | PyObject *value; |
| 2836 | long x; |
| 2837 | |
| 2838 | x = calc_binint(s, size); |
| 2839 | |
| 2840 | if ((value = PyLong_FromLong(x)) == NULL) |
| 2841 | return -1; |
| 2842 | |
| 2843 | PDATA_PUSH(self->stack, value, -1); |
| 2844 | return 0; |
| 2845 | } |
| 2846 | |
| 2847 | static int |
| 2848 | load_binint(UnpicklerObject *self) |
| 2849 | { |
| 2850 | char *s; |
| 2851 | |
| 2852 | if (unpickler_read(self, &s, 4) < 0) |
| 2853 | return -1; |
| 2854 | |
| 2855 | return load_binintx(self, s, 4); |
| 2856 | } |
| 2857 | |
| 2858 | static int |
| 2859 | load_binint1(UnpicklerObject *self) |
| 2860 | { |
| 2861 | char *s; |
| 2862 | |
| 2863 | if (unpickler_read(self, &s, 1) < 0) |
| 2864 | return -1; |
| 2865 | |
| 2866 | return load_binintx(self, s, 1); |
| 2867 | } |
| 2868 | |
| 2869 | static int |
| 2870 | load_binint2(UnpicklerObject *self) |
| 2871 | { |
| 2872 | char *s; |
| 2873 | |
| 2874 | if (unpickler_read(self, &s, 2) < 0) |
| 2875 | return -1; |
| 2876 | |
| 2877 | return load_binintx(self, s, 2); |
| 2878 | } |
| 2879 | |
| 2880 | static int |
| 2881 | load_long(UnpicklerObject *self) |
| 2882 | { |
| 2883 | PyObject *value; |
Alexandre Vassalotti | 446f7ff | 2009-01-23 04:43:46 +0000 | [diff] [blame] | 2884 | char *s; |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 2885 | Py_ssize_t len; |
| 2886 | |
| 2887 | if ((len = unpickler_readline(self, &s)) < 0) |
| 2888 | return -1; |
| 2889 | if (len < 2) |
| 2890 | return bad_readline(); |
| 2891 | |
Mark Dickinson | 8dd0514 | 2009-01-20 20:43:58 +0000 | [diff] [blame] | 2892 | /* s[len-2] will usually be 'L' (and s[len-1] is '\n'); we need to remove |
| 2893 | the 'L' before calling PyLong_FromString. In order to maintain |
| 2894 | compatibility with Python 3.0.0, we don't actually *require* |
| 2895 | the 'L' to be present. */ |
| 2896 | if (s[len-2] == 'L') { |
Alexandre Vassalotti | 446f7ff | 2009-01-23 04:43:46 +0000 | [diff] [blame] | 2897 | s[len-2] = '\0'; |
Mark Dickinson | 8dd0514 | 2009-01-20 20:43:58 +0000 | [diff] [blame] | 2898 | } |
Alexandre Vassalotti | e4bccb7 | 2009-01-24 01:47:57 +0000 | [diff] [blame] | 2899 | /* XXX: Should the base argument explicitly set to 10? */ |
| 2900 | value = PyLong_FromString(s, NULL, 0); |
Mark Dickinson | 8dd0514 | 2009-01-20 20:43:58 +0000 | [diff] [blame] | 2901 | if (value == NULL) |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 2902 | return -1; |
| 2903 | |
| 2904 | PDATA_PUSH(self->stack, value, -1); |
| 2905 | return 0; |
| 2906 | } |
| 2907 | |
| 2908 | /* 'size' bytes contain the # of bytes of little-endian 256's-complement |
| 2909 | * data following. |
| 2910 | */ |
| 2911 | static int |
| 2912 | load_counted_long(UnpicklerObject *self, int size) |
| 2913 | { |
| 2914 | PyObject *value; |
| 2915 | char *nbytes; |
| 2916 | char *pdata; |
| 2917 | |
| 2918 | assert(size == 1 || size == 4); |
| 2919 | if (unpickler_read(self, &nbytes, size) < 0) |
| 2920 | return -1; |
| 2921 | |
| 2922 | size = calc_binint(nbytes, size); |
| 2923 | if (size < 0) { |
| 2924 | /* Corrupt or hostile pickle -- we never write one like this */ |
| 2925 | PyErr_SetString(UnpicklingError, |
| 2926 | "LONG pickle has negative byte count"); |
| 2927 | return -1; |
| 2928 | } |
| 2929 | |
| 2930 | if (size == 0) |
| 2931 | value = PyLong_FromLong(0L); |
| 2932 | else { |
| 2933 | /* Read the raw little-endian bytes and convert. */ |
| 2934 | if (unpickler_read(self, &pdata, size) < 0) |
| 2935 | return -1; |
| 2936 | value = _PyLong_FromByteArray((unsigned char *)pdata, (size_t)size, |
| 2937 | 1 /* little endian */ , 1 /* signed */ ); |
| 2938 | } |
| 2939 | if (value == NULL) |
| 2940 | return -1; |
| 2941 | PDATA_PUSH(self->stack, value, -1); |
| 2942 | return 0; |
| 2943 | } |
| 2944 | |
| 2945 | static int |
| 2946 | load_float(UnpicklerObject *self) |
| 2947 | { |
| 2948 | PyObject *value; |
| 2949 | char *endptr, *s; |
| 2950 | Py_ssize_t len; |
| 2951 | double d; |
| 2952 | |
| 2953 | if ((len = unpickler_readline(self, &s)) < 0) |
| 2954 | return -1; |
| 2955 | if (len < 2) |
| 2956 | return bad_readline(); |
| 2957 | |
| 2958 | errno = 0; |
| 2959 | d = PyOS_ascii_strtod(s, &endptr); |
| 2960 | |
Mark Dickinson | cddcf44 | 2009-01-24 21:46:33 +0000 | [diff] [blame] | 2961 | if ((errno == ERANGE && !(fabs(d) <= 1.0)) || |
| 2962 | (endptr[0] != '\n') || (endptr[1] != '\0')) { |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 2963 | PyErr_SetString(PyExc_ValueError, "could not convert string to float"); |
| 2964 | return -1; |
| 2965 | } |
| 2966 | |
| 2967 | if ((value = PyFloat_FromDouble(d)) == NULL) |
| 2968 | return -1; |
| 2969 | |
| 2970 | PDATA_PUSH(self->stack, value, -1); |
| 2971 | return 0; |
| 2972 | } |
| 2973 | |
| 2974 | static int |
| 2975 | load_binfloat(UnpicklerObject *self) |
| 2976 | { |
| 2977 | PyObject *value; |
| 2978 | double x; |
| 2979 | char *s; |
| 2980 | |
| 2981 | if (unpickler_read(self, &s, 8) < 0) |
| 2982 | return -1; |
| 2983 | |
| 2984 | x = _PyFloat_Unpack8((unsigned char *)s, 0); |
| 2985 | if (x == -1.0 && PyErr_Occurred()) |
| 2986 | return -1; |
| 2987 | |
| 2988 | if ((value = PyFloat_FromDouble(x)) == NULL) |
| 2989 | return -1; |
| 2990 | |
| 2991 | PDATA_PUSH(self->stack, value, -1); |
| 2992 | return 0; |
| 2993 | } |
| 2994 | |
| 2995 | static int |
| 2996 | load_string(UnpicklerObject *self) |
| 2997 | { |
| 2998 | PyObject *bytes; |
| 2999 | PyObject *str = NULL; |
| 3000 | Py_ssize_t len; |
| 3001 | char *s, *p; |
| 3002 | |
| 3003 | if ((len = unpickler_readline(self, &s)) < 0) |
| 3004 | return -1; |
| 3005 | if (len < 3) |
| 3006 | return bad_readline(); |
| 3007 | if ((s = strdup(s)) == NULL) { |
| 3008 | PyErr_NoMemory(); |
| 3009 | return -1; |
| 3010 | } |
| 3011 | |
| 3012 | /* Strip outermost quotes */ |
| 3013 | while (s[len - 1] <= ' ') |
| 3014 | len--; |
| 3015 | if (s[0] == '"' && s[len - 1] == '"') { |
| 3016 | s[len - 1] = '\0'; |
| 3017 | p = s + 1; |
| 3018 | len -= 2; |
| 3019 | } |
| 3020 | else if (s[0] == '\'' && s[len - 1] == '\'') { |
| 3021 | s[len - 1] = '\0'; |
| 3022 | p = s + 1; |
| 3023 | len -= 2; |
| 3024 | } |
| 3025 | else { |
| 3026 | free(s); |
| 3027 | PyErr_SetString(PyExc_ValueError, "insecure string pickle"); |
| 3028 | return -1; |
| 3029 | } |
| 3030 | |
| 3031 | /* Use the PyBytes API to decode the string, since that is what is used |
| 3032 | to encode, and then coerce the result to Unicode. */ |
| 3033 | bytes = PyBytes_DecodeEscape(p, len, NULL, 0, NULL); |
| 3034 | free(s); |
| 3035 | if (bytes == NULL) |
| 3036 | return -1; |
| 3037 | str = PyUnicode_FromEncodedObject(bytes, self->encoding, self->errors); |
| 3038 | Py_DECREF(bytes); |
| 3039 | if (str == NULL) |
| 3040 | return -1; |
| 3041 | |
| 3042 | PDATA_PUSH(self->stack, str, -1); |
| 3043 | return 0; |
| 3044 | } |
| 3045 | |
| 3046 | static int |
| 3047 | load_binbytes(UnpicklerObject *self) |
| 3048 | { |
| 3049 | PyObject *bytes; |
| 3050 | long x; |
| 3051 | char *s; |
| 3052 | |
| 3053 | if (unpickler_read(self, &s, 4) < 0) |
| 3054 | return -1; |
| 3055 | |
| 3056 | x = calc_binint(s, 4); |
| 3057 | if (x < 0) { |
| 3058 | PyErr_SetString(UnpicklingError, |
| 3059 | "BINBYTES pickle has negative byte count"); |
| 3060 | return -1; |
| 3061 | } |
| 3062 | |
| 3063 | if (unpickler_read(self, &s, x) < 0) |
| 3064 | return -1; |
| 3065 | bytes = PyBytes_FromStringAndSize(s, x); |
| 3066 | if (bytes == NULL) |
| 3067 | return -1; |
| 3068 | |
| 3069 | PDATA_PUSH(self->stack, bytes, -1); |
| 3070 | return 0; |
| 3071 | } |
| 3072 | |
| 3073 | static int |
| 3074 | load_short_binbytes(UnpicklerObject *self) |
| 3075 | { |
| 3076 | PyObject *bytes; |
| 3077 | unsigned char x; |
| 3078 | char *s; |
| 3079 | |
| 3080 | if (unpickler_read(self, &s, 1) < 0) |
| 3081 | return -1; |
| 3082 | |
| 3083 | x = (unsigned char)s[0]; |
| 3084 | |
| 3085 | if (unpickler_read(self, &s, x) < 0) |
| 3086 | return -1; |
| 3087 | |
| 3088 | bytes = PyBytes_FromStringAndSize(s, x); |
| 3089 | if (bytes == NULL) |
| 3090 | return -1; |
| 3091 | |
| 3092 | PDATA_PUSH(self->stack, bytes, -1); |
| 3093 | return 0; |
| 3094 | } |
| 3095 | |
| 3096 | static int |
| 3097 | load_binstring(UnpicklerObject *self) |
| 3098 | { |
| 3099 | PyObject *str; |
| 3100 | long x; |
| 3101 | char *s; |
| 3102 | |
| 3103 | if (unpickler_read(self, &s, 4) < 0) |
| 3104 | return -1; |
| 3105 | |
| 3106 | x = calc_binint(s, 4); |
| 3107 | if (x < 0) { |
| 3108 | PyErr_SetString(UnpicklingError, |
| 3109 | "BINSTRING pickle has negative byte count"); |
| 3110 | return -1; |
| 3111 | } |
| 3112 | |
| 3113 | if (unpickler_read(self, &s, x) < 0) |
| 3114 | return -1; |
| 3115 | |
| 3116 | /* Convert Python 2.x strings to unicode. */ |
| 3117 | str = PyUnicode_Decode(s, x, self->encoding, self->errors); |
| 3118 | if (str == NULL) |
| 3119 | return -1; |
| 3120 | |
| 3121 | PDATA_PUSH(self->stack, str, -1); |
| 3122 | return 0; |
| 3123 | } |
| 3124 | |
| 3125 | static int |
| 3126 | load_short_binstring(UnpicklerObject *self) |
| 3127 | { |
| 3128 | PyObject *str; |
| 3129 | unsigned char x; |
| 3130 | char *s; |
| 3131 | |
| 3132 | if (unpickler_read(self, &s, 1) < 0) |
| 3133 | return -1; |
| 3134 | |
| 3135 | x = (unsigned char)s[0]; |
| 3136 | |
| 3137 | if (unpickler_read(self, &s, x) < 0) |
| 3138 | return -1; |
| 3139 | |
| 3140 | /* Convert Python 2.x strings to unicode. */ |
| 3141 | str = PyUnicode_Decode(s, x, self->encoding, self->errors); |
| 3142 | if (str == NULL) |
| 3143 | return -1; |
| 3144 | |
| 3145 | PDATA_PUSH(self->stack, str, -1); |
| 3146 | return 0; |
| 3147 | } |
| 3148 | |
| 3149 | static int |
| 3150 | load_unicode(UnpicklerObject *self) |
| 3151 | { |
| 3152 | PyObject *str; |
| 3153 | Py_ssize_t len; |
| 3154 | char *s; |
| 3155 | |
| 3156 | if ((len = unpickler_readline(self, &s)) < 0) |
| 3157 | return -1; |
| 3158 | if (len < 1) |
| 3159 | return bad_readline(); |
| 3160 | |
| 3161 | str = PyUnicode_DecodeRawUnicodeEscape(s, len - 1, NULL); |
| 3162 | if (str == NULL) |
| 3163 | return -1; |
| 3164 | |
| 3165 | PDATA_PUSH(self->stack, str, -1); |
| 3166 | return 0; |
| 3167 | } |
| 3168 | |
| 3169 | static int |
| 3170 | load_binunicode(UnpicklerObject *self) |
| 3171 | { |
| 3172 | PyObject *str; |
| 3173 | long size; |
| 3174 | char *s; |
| 3175 | |
| 3176 | if (unpickler_read(self, &s, 4) < 0) |
| 3177 | return -1; |
| 3178 | |
| 3179 | size = calc_binint(s, 4); |
| 3180 | if (size < 0) { |
| 3181 | PyErr_SetString(UnpicklingError, |
| 3182 | "BINUNICODE pickle has negative byte count"); |
| 3183 | return -1; |
| 3184 | } |
| 3185 | |
| 3186 | if (unpickler_read(self, &s, size) < 0) |
| 3187 | return -1; |
| 3188 | |
| 3189 | str = PyUnicode_DecodeUTF8(s, size, NULL); |
| 3190 | if (str == NULL) |
| 3191 | return -1; |
| 3192 | |
| 3193 | PDATA_PUSH(self->stack, str, -1); |
| 3194 | return 0; |
| 3195 | } |
| 3196 | |
| 3197 | static int |
| 3198 | load_tuple(UnpicklerObject *self) |
| 3199 | { |
| 3200 | PyObject *tuple; |
| 3201 | int i; |
| 3202 | |
| 3203 | if ((i = marker(self)) < 0) |
| 3204 | return -1; |
| 3205 | |
| 3206 | tuple = Pdata_poptuple(self->stack, i); |
| 3207 | if (tuple == NULL) |
| 3208 | return -1; |
| 3209 | PDATA_PUSH(self->stack, tuple, -1); |
| 3210 | return 0; |
| 3211 | } |
| 3212 | |
| 3213 | static int |
| 3214 | load_counted_tuple(UnpicklerObject *self, int len) |
| 3215 | { |
| 3216 | PyObject *tuple; |
| 3217 | |
| 3218 | tuple = PyTuple_New(len); |
| 3219 | if (tuple == NULL) |
| 3220 | return -1; |
| 3221 | |
| 3222 | while (--len >= 0) { |
| 3223 | PyObject *item; |
| 3224 | |
| 3225 | PDATA_POP(self->stack, item); |
| 3226 | if (item == NULL) |
| 3227 | return -1; |
| 3228 | PyTuple_SET_ITEM(tuple, len, item); |
| 3229 | } |
| 3230 | PDATA_PUSH(self->stack, tuple, -1); |
| 3231 | return 0; |
| 3232 | } |
| 3233 | |
| 3234 | static int |
| 3235 | load_empty_list(UnpicklerObject *self) |
| 3236 | { |
| 3237 | PyObject *list; |
| 3238 | |
| 3239 | if ((list = PyList_New(0)) == NULL) |
| 3240 | return -1; |
| 3241 | PDATA_PUSH(self->stack, list, -1); |
| 3242 | return 0; |
| 3243 | } |
| 3244 | |
| 3245 | static int |
| 3246 | load_empty_dict(UnpicklerObject *self) |
| 3247 | { |
| 3248 | PyObject *dict; |
| 3249 | |
| 3250 | if ((dict = PyDict_New()) == NULL) |
| 3251 | return -1; |
| 3252 | PDATA_PUSH(self->stack, dict, -1); |
| 3253 | return 0; |
| 3254 | } |
| 3255 | |
| 3256 | static int |
| 3257 | load_list(UnpicklerObject *self) |
| 3258 | { |
| 3259 | PyObject *list; |
| 3260 | int i; |
| 3261 | |
| 3262 | if ((i = marker(self)) < 0) |
| 3263 | return -1; |
| 3264 | |
| 3265 | list = Pdata_poplist(self->stack, i); |
| 3266 | if (list == NULL) |
| 3267 | return -1; |
| 3268 | PDATA_PUSH(self->stack, list, -1); |
| 3269 | return 0; |
| 3270 | } |
| 3271 | |
| 3272 | static int |
| 3273 | load_dict(UnpicklerObject *self) |
| 3274 | { |
| 3275 | PyObject *dict, *key, *value; |
| 3276 | int i, j, k; |
| 3277 | |
| 3278 | if ((i = marker(self)) < 0) |
| 3279 | return -1; |
| 3280 | j = self->stack->length; |
| 3281 | |
| 3282 | if ((dict = PyDict_New()) == NULL) |
| 3283 | return -1; |
| 3284 | |
| 3285 | for (k = i + 1; k < j; k += 2) { |
| 3286 | key = self->stack->data[k - 1]; |
| 3287 | value = self->stack->data[k]; |
| 3288 | if (PyDict_SetItem(dict, key, value) < 0) { |
| 3289 | Py_DECREF(dict); |
| 3290 | return -1; |
| 3291 | } |
| 3292 | } |
| 3293 | Pdata_clear(self->stack, i); |
| 3294 | PDATA_PUSH(self->stack, dict, -1); |
| 3295 | return 0; |
| 3296 | } |
| 3297 | |
| 3298 | static PyObject * |
| 3299 | instantiate(PyObject *cls, PyObject *args) |
| 3300 | { |
| 3301 | PyObject *r = NULL; |
| 3302 | |
| 3303 | /* XXX: The pickle.py module does not create instances this way when the |
| 3304 | args tuple is empty. See Unpickler._instantiate(). */ |
| 3305 | if ((r = PyObject_CallObject(cls, args))) |
| 3306 | return r; |
| 3307 | |
| 3308 | /* XXX: Is this still nescessary? */ |
| 3309 | { |
| 3310 | PyObject *tp, *v, *tb, *tmp_value; |
| 3311 | |
| 3312 | PyErr_Fetch(&tp, &v, &tb); |
| 3313 | tmp_value = v; |
| 3314 | /* NULL occurs when there was a KeyboardInterrupt */ |
| 3315 | if (tmp_value == NULL) |
| 3316 | tmp_value = Py_None; |
| 3317 | if ((r = PyTuple_Pack(3, tmp_value, cls, args))) { |
| 3318 | Py_XDECREF(v); |
| 3319 | v = r; |
| 3320 | } |
| 3321 | PyErr_Restore(tp, v, tb); |
| 3322 | } |
| 3323 | return NULL; |
| 3324 | } |
| 3325 | |
| 3326 | static int |
| 3327 | load_obj(UnpicklerObject *self) |
| 3328 | { |
| 3329 | PyObject *cls, *args, *obj = NULL; |
| 3330 | int i; |
| 3331 | |
| 3332 | if ((i = marker(self)) < 0) |
| 3333 | return -1; |
| 3334 | |
| 3335 | args = Pdata_poptuple(self->stack, i + 1); |
| 3336 | if (args == NULL) |
| 3337 | return -1; |
| 3338 | |
| 3339 | PDATA_POP(self->stack, cls); |
| 3340 | if (cls) { |
| 3341 | obj = instantiate(cls, args); |
| 3342 | Py_DECREF(cls); |
| 3343 | } |
| 3344 | Py_DECREF(args); |
| 3345 | if (obj == NULL) |
| 3346 | return -1; |
| 3347 | |
| 3348 | PDATA_PUSH(self->stack, obj, -1); |
| 3349 | return 0; |
| 3350 | } |
| 3351 | |
| 3352 | static int |
| 3353 | load_inst(UnpicklerObject *self) |
| 3354 | { |
| 3355 | PyObject *cls = NULL; |
| 3356 | PyObject *args = NULL; |
| 3357 | PyObject *obj = NULL; |
| 3358 | PyObject *module_name; |
| 3359 | PyObject *class_name; |
| 3360 | Py_ssize_t len; |
| 3361 | int i; |
| 3362 | char *s; |
| 3363 | |
| 3364 | if ((i = marker(self)) < 0) |
| 3365 | return -1; |
| 3366 | if ((len = unpickler_readline(self, &s)) < 0) |
| 3367 | return -1; |
| 3368 | if (len < 2) |
| 3369 | return bad_readline(); |
| 3370 | |
| 3371 | /* Here it is safe to use PyUnicode_DecodeASCII(), even though non-ASCII |
| 3372 | identifiers are permitted in Python 3.0, since the INST opcode is only |
| 3373 | supported by older protocols on Python 2.x. */ |
| 3374 | module_name = PyUnicode_DecodeASCII(s, len - 1, "strict"); |
| 3375 | if (module_name == NULL) |
| 3376 | return -1; |
| 3377 | |
| 3378 | if ((len = unpickler_readline(self, &s)) >= 0) { |
| 3379 | if (len < 2) |
| 3380 | return bad_readline(); |
| 3381 | class_name = PyUnicode_DecodeASCII(s, len - 1, "strict"); |
| 3382 | if (class_name == NULL) { |
| 3383 | cls = find_class(self, module_name, class_name); |
| 3384 | Py_DECREF(class_name); |
| 3385 | } |
| 3386 | } |
| 3387 | Py_DECREF(module_name); |
| 3388 | |
| 3389 | if (cls == NULL) |
| 3390 | return -1; |
| 3391 | |
| 3392 | if ((args = Pdata_poptuple(self->stack, i)) != NULL) { |
| 3393 | obj = instantiate(cls, args); |
| 3394 | Py_DECREF(args); |
| 3395 | } |
| 3396 | Py_DECREF(cls); |
| 3397 | |
| 3398 | if (obj == NULL) |
| 3399 | return -1; |
| 3400 | |
| 3401 | PDATA_PUSH(self->stack, obj, -1); |
| 3402 | return 0; |
| 3403 | } |
| 3404 | |
| 3405 | static int |
| 3406 | load_newobj(UnpicklerObject *self) |
| 3407 | { |
| 3408 | PyObject *args = NULL; |
| 3409 | PyObject *clsraw = NULL; |
| 3410 | PyTypeObject *cls; /* clsraw cast to its true type */ |
| 3411 | PyObject *obj; |
| 3412 | |
| 3413 | /* Stack is ... cls argtuple, and we want to call |
| 3414 | * cls.__new__(cls, *argtuple). |
| 3415 | */ |
| 3416 | PDATA_POP(self->stack, args); |
| 3417 | if (args == NULL) |
| 3418 | goto error; |
| 3419 | if (!PyTuple_Check(args)) { |
| 3420 | PyErr_SetString(UnpicklingError, "NEWOBJ expected an arg " "tuple."); |
| 3421 | goto error; |
| 3422 | } |
| 3423 | |
| 3424 | PDATA_POP(self->stack, clsraw); |
| 3425 | cls = (PyTypeObject *)clsraw; |
| 3426 | if (cls == NULL) |
| 3427 | goto error; |
| 3428 | if (!PyType_Check(cls)) { |
| 3429 | PyErr_SetString(UnpicklingError, "NEWOBJ class argument " |
| 3430 | "isn't a type object"); |
| 3431 | goto error; |
| 3432 | } |
| 3433 | if (cls->tp_new == NULL) { |
| 3434 | PyErr_SetString(UnpicklingError, "NEWOBJ class argument " |
| 3435 | "has NULL tp_new"); |
| 3436 | goto error; |
| 3437 | } |
| 3438 | |
| 3439 | /* Call __new__. */ |
| 3440 | obj = cls->tp_new(cls, args, NULL); |
| 3441 | if (obj == NULL) |
| 3442 | goto error; |
| 3443 | |
| 3444 | Py_DECREF(args); |
| 3445 | Py_DECREF(clsraw); |
| 3446 | PDATA_PUSH(self->stack, obj, -1); |
| 3447 | return 0; |
| 3448 | |
| 3449 | error: |
| 3450 | Py_XDECREF(args); |
| 3451 | Py_XDECREF(clsraw); |
| 3452 | return -1; |
| 3453 | } |
| 3454 | |
| 3455 | static int |
| 3456 | load_global(UnpicklerObject *self) |
| 3457 | { |
| 3458 | PyObject *global = NULL; |
| 3459 | PyObject *module_name; |
| 3460 | PyObject *global_name; |
| 3461 | Py_ssize_t len; |
| 3462 | char *s; |
| 3463 | |
| 3464 | if ((len = unpickler_readline(self, &s)) < 0) |
| 3465 | return -1; |
| 3466 | if (len < 2) |
| 3467 | return bad_readline(); |
| 3468 | module_name = PyUnicode_DecodeUTF8(s, len - 1, "strict"); |
| 3469 | if (!module_name) |
| 3470 | return -1; |
| 3471 | |
| 3472 | if ((len = unpickler_readline(self, &s)) >= 0) { |
| 3473 | if (len < 2) { |
| 3474 | Py_DECREF(module_name); |
| 3475 | return bad_readline(); |
| 3476 | } |
| 3477 | global_name = PyUnicode_DecodeUTF8(s, len - 1, "strict"); |
| 3478 | if (global_name) { |
| 3479 | global = find_class(self, module_name, global_name); |
| 3480 | Py_DECREF(global_name); |
| 3481 | } |
| 3482 | } |
| 3483 | Py_DECREF(module_name); |
| 3484 | |
| 3485 | if (global == NULL) |
| 3486 | return -1; |
| 3487 | PDATA_PUSH(self->stack, global, -1); |
| 3488 | return 0; |
| 3489 | } |
| 3490 | |
| 3491 | static int |
| 3492 | load_persid(UnpicklerObject *self) |
| 3493 | { |
| 3494 | PyObject *pid; |
| 3495 | Py_ssize_t len; |
| 3496 | char *s; |
| 3497 | |
| 3498 | if (self->pers_func) { |
| 3499 | if ((len = unpickler_readline(self, &s)) < 0) |
| 3500 | return -1; |
| 3501 | if (len < 2) |
| 3502 | return bad_readline(); |
| 3503 | |
| 3504 | pid = PyBytes_FromStringAndSize(s, len - 1); |
| 3505 | if (pid == NULL) |
| 3506 | return -1; |
| 3507 | |
| 3508 | /* Ugh... this does not leak since unpickler_call() steals the |
| 3509 | reference to pid first. */ |
| 3510 | pid = unpickler_call(self, self->pers_func, pid); |
| 3511 | if (pid == NULL) |
| 3512 | return -1; |
| 3513 | |
| 3514 | PDATA_PUSH(self->stack, pid, -1); |
| 3515 | return 0; |
| 3516 | } |
| 3517 | else { |
| 3518 | PyErr_SetString(UnpicklingError, |
| 3519 | "A load persistent id instruction was encountered,\n" |
| 3520 | "but no persistent_load function was specified."); |
| 3521 | return -1; |
| 3522 | } |
| 3523 | } |
| 3524 | |
| 3525 | static int |
| 3526 | load_binpersid(UnpicklerObject *self) |
| 3527 | { |
| 3528 | PyObject *pid; |
| 3529 | |
| 3530 | if (self->pers_func) { |
| 3531 | PDATA_POP(self->stack, pid); |
| 3532 | if (pid == NULL) |
| 3533 | return -1; |
| 3534 | |
| 3535 | /* Ugh... this does not leak since unpickler_call() steals the |
| 3536 | reference to pid first. */ |
| 3537 | pid = unpickler_call(self, self->pers_func, pid); |
| 3538 | if (pid == NULL) |
| 3539 | return -1; |
| 3540 | |
| 3541 | PDATA_PUSH(self->stack, pid, -1); |
| 3542 | return 0; |
| 3543 | } |
| 3544 | else { |
| 3545 | PyErr_SetString(UnpicklingError, |
| 3546 | "A load persistent id instruction was encountered,\n" |
| 3547 | "but no persistent_load function was specified."); |
| 3548 | return -1; |
| 3549 | } |
| 3550 | } |
| 3551 | |
| 3552 | static int |
| 3553 | load_pop(UnpicklerObject *self) |
| 3554 | { |
| 3555 | int len; |
| 3556 | |
| 3557 | if ((len = self->stack->length) <= 0) |
| 3558 | return stack_underflow(); |
| 3559 | |
| 3560 | /* Note that we split the (pickle.py) stack into two stacks, |
| 3561 | * an object stack and a mark stack. We have to be clever and |
| 3562 | * pop the right one. We do this by looking at the top of the |
| 3563 | * mark stack. |
| 3564 | */ |
| 3565 | |
| 3566 | if ((self->num_marks > 0) && (self->marks[self->num_marks - 1] == len)) |
| 3567 | self->num_marks--; |
| 3568 | else { |
| 3569 | len--; |
| 3570 | Py_DECREF(self->stack->data[len]); |
| 3571 | self->stack->length = len; |
| 3572 | } |
| 3573 | |
| 3574 | return 0; |
| 3575 | } |
| 3576 | |
| 3577 | static int |
| 3578 | load_pop_mark(UnpicklerObject *self) |
| 3579 | { |
| 3580 | int i; |
| 3581 | |
| 3582 | if ((i = marker(self)) < 0) |
| 3583 | return -1; |
| 3584 | |
| 3585 | Pdata_clear(self->stack, i); |
| 3586 | |
| 3587 | return 0; |
| 3588 | } |
| 3589 | |
| 3590 | static int |
| 3591 | load_dup(UnpicklerObject *self) |
| 3592 | { |
| 3593 | PyObject *last; |
| 3594 | int len; |
| 3595 | |
| 3596 | if ((len = self->stack->length) <= 0) |
| 3597 | return stack_underflow(); |
| 3598 | last = self->stack->data[len - 1]; |
| 3599 | PDATA_APPEND(self->stack, last, -1); |
| 3600 | return 0; |
| 3601 | } |
| 3602 | |
| 3603 | static int |
| 3604 | load_get(UnpicklerObject *self) |
| 3605 | { |
| 3606 | PyObject *key, *value; |
| 3607 | Py_ssize_t len; |
| 3608 | char *s; |
| 3609 | |
| 3610 | if ((len = unpickler_readline(self, &s)) < 0) |
| 3611 | return -1; |
| 3612 | if (len < 2) |
| 3613 | return bad_readline(); |
| 3614 | |
| 3615 | key = PyLong_FromString(s, NULL, 10); |
| 3616 | if (key == NULL) |
| 3617 | return -1; |
| 3618 | |
| 3619 | value = PyDict_GetItemWithError(self->memo, key); |
| 3620 | if (value == NULL) { |
| 3621 | if (!PyErr_Occurred()) |
| 3622 | PyErr_SetObject(PyExc_KeyError, key); |
| 3623 | Py_DECREF(key); |
| 3624 | return -1; |
| 3625 | } |
| 3626 | Py_DECREF(key); |
| 3627 | |
| 3628 | PDATA_APPEND(self->stack, value, -1); |
| 3629 | return 0; |
| 3630 | } |
| 3631 | |
| 3632 | static int |
| 3633 | load_binget(UnpicklerObject *self) |
| 3634 | { |
| 3635 | PyObject *key, *value; |
| 3636 | char *s; |
| 3637 | |
| 3638 | if (unpickler_read(self, &s, 1) < 0) |
| 3639 | return -1; |
| 3640 | |
| 3641 | /* Here, the unsigned cast is necessary to avoid negative values. */ |
| 3642 | key = PyLong_FromLong((long)(unsigned char)s[0]); |
| 3643 | if (key == NULL) |
| 3644 | return -1; |
| 3645 | |
| 3646 | value = PyDict_GetItemWithError(self->memo, key); |
| 3647 | if (value == NULL) { |
| 3648 | if (!PyErr_Occurred()) |
| 3649 | PyErr_SetObject(PyExc_KeyError, key); |
| 3650 | Py_DECREF(key); |
| 3651 | return -1; |
| 3652 | } |
| 3653 | Py_DECREF(key); |
| 3654 | |
| 3655 | PDATA_APPEND(self->stack, value, -1); |
| 3656 | return 0; |
| 3657 | } |
| 3658 | |
| 3659 | static int |
| 3660 | load_long_binget(UnpicklerObject *self) |
| 3661 | { |
| 3662 | PyObject *key, *value; |
| 3663 | char *s; |
| 3664 | long k; |
| 3665 | |
| 3666 | if (unpickler_read(self, &s, 4) < 0) |
| 3667 | return -1; |
| 3668 | |
| 3669 | k = (long)(unsigned char)s[0]; |
| 3670 | k |= (long)(unsigned char)s[1] << 8; |
| 3671 | k |= (long)(unsigned char)s[2] << 16; |
| 3672 | k |= (long)(unsigned char)s[3] << 24; |
| 3673 | |
| 3674 | key = PyLong_FromLong(k); |
| 3675 | if (key == NULL) |
| 3676 | return -1; |
| 3677 | |
| 3678 | value = PyDict_GetItemWithError(self->memo, key); |
| 3679 | if (value == NULL) { |
| 3680 | if (!PyErr_Occurred()) |
| 3681 | PyErr_SetObject(PyExc_KeyError, key); |
| 3682 | Py_DECREF(key); |
| 3683 | return -1; |
| 3684 | } |
| 3685 | Py_DECREF(key); |
| 3686 | |
| 3687 | PDATA_APPEND(self->stack, value, -1); |
| 3688 | return 0; |
| 3689 | } |
| 3690 | |
| 3691 | /* Push an object from the extension registry (EXT[124]). nbytes is |
| 3692 | * the number of bytes following the opcode, holding the index (code) value. |
| 3693 | */ |
| 3694 | static int |
| 3695 | load_extension(UnpicklerObject *self, int nbytes) |
| 3696 | { |
| 3697 | char *codebytes; /* the nbytes bytes after the opcode */ |
| 3698 | long code; /* calc_binint returns long */ |
| 3699 | PyObject *py_code; /* code as a Python int */ |
| 3700 | PyObject *obj; /* the object to push */ |
| 3701 | PyObject *pair; /* (module_name, class_name) */ |
| 3702 | PyObject *module_name, *class_name; |
| 3703 | |
| 3704 | assert(nbytes == 1 || nbytes == 2 || nbytes == 4); |
| 3705 | if (unpickler_read(self, &codebytes, nbytes) < 0) |
| 3706 | return -1; |
| 3707 | code = calc_binint(codebytes, nbytes); |
| 3708 | if (code <= 0) { /* note that 0 is forbidden */ |
| 3709 | /* Corrupt or hostile pickle. */ |
| 3710 | PyErr_SetString(UnpicklingError, "EXT specifies code <= 0"); |
| 3711 | return -1; |
| 3712 | } |
| 3713 | |
| 3714 | /* Look for the code in the cache. */ |
| 3715 | py_code = PyLong_FromLong(code); |
| 3716 | if (py_code == NULL) |
| 3717 | return -1; |
| 3718 | obj = PyDict_GetItem(extension_cache, py_code); |
| 3719 | if (obj != NULL) { |
| 3720 | /* Bingo. */ |
| 3721 | Py_DECREF(py_code); |
| 3722 | PDATA_APPEND(self->stack, obj, -1); |
| 3723 | return 0; |
| 3724 | } |
| 3725 | |
| 3726 | /* Look up the (module_name, class_name) pair. */ |
| 3727 | pair = PyDict_GetItem(inverted_registry, py_code); |
| 3728 | if (pair == NULL) { |
| 3729 | Py_DECREF(py_code); |
| 3730 | PyErr_Format(PyExc_ValueError, "unregistered extension " |
| 3731 | "code %ld", code); |
| 3732 | return -1; |
| 3733 | } |
| 3734 | /* Since the extension registry is manipulable via Python code, |
| 3735 | * confirm that pair is really a 2-tuple of strings. |
| 3736 | */ |
| 3737 | if (!PyTuple_Check(pair) || PyTuple_Size(pair) != 2 || |
| 3738 | !PyUnicode_Check(module_name = PyTuple_GET_ITEM(pair, 0)) || |
| 3739 | !PyUnicode_Check(class_name = PyTuple_GET_ITEM(pair, 1))) { |
| 3740 | Py_DECREF(py_code); |
| 3741 | PyErr_Format(PyExc_ValueError, "_inverted_registry[%ld] " |
| 3742 | "isn't a 2-tuple of strings", code); |
| 3743 | return -1; |
| 3744 | } |
| 3745 | /* Load the object. */ |
| 3746 | obj = find_class(self, module_name, class_name); |
| 3747 | if (obj == NULL) { |
| 3748 | Py_DECREF(py_code); |
| 3749 | return -1; |
| 3750 | } |
| 3751 | /* Cache code -> obj. */ |
| 3752 | code = PyDict_SetItem(extension_cache, py_code, obj); |
| 3753 | Py_DECREF(py_code); |
| 3754 | if (code < 0) { |
| 3755 | Py_DECREF(obj); |
| 3756 | return -1; |
| 3757 | } |
| 3758 | PDATA_PUSH(self->stack, obj, -1); |
| 3759 | return 0; |
| 3760 | } |
| 3761 | |
| 3762 | static int |
| 3763 | load_put(UnpicklerObject *self) |
| 3764 | { |
| 3765 | PyObject *key, *value; |
| 3766 | Py_ssize_t len; |
| 3767 | char *s; |
| 3768 | int x; |
| 3769 | |
| 3770 | if ((len = unpickler_readline(self, &s)) < 0) |
| 3771 | return -1; |
| 3772 | if (len < 2) |
| 3773 | return bad_readline(); |
| 3774 | if ((x = self->stack->length) <= 0) |
| 3775 | return stack_underflow(); |
| 3776 | |
| 3777 | key = PyLong_FromString(s, NULL, 10); |
| 3778 | if (key == NULL) |
| 3779 | return -1; |
| 3780 | value = self->stack->data[x - 1]; |
| 3781 | |
| 3782 | x = PyDict_SetItem(self->memo, key, value); |
| 3783 | Py_DECREF(key); |
| 3784 | return x; |
| 3785 | } |
| 3786 | |
| 3787 | static int |
| 3788 | load_binput(UnpicklerObject *self) |
| 3789 | { |
| 3790 | PyObject *key, *value; |
| 3791 | char *s; |
| 3792 | int x; |
| 3793 | |
| 3794 | if (unpickler_read(self, &s, 1) < 0) |
| 3795 | return -1; |
| 3796 | if ((x = self->stack->length) <= 0) |
| 3797 | return stack_underflow(); |
| 3798 | |
| 3799 | key = PyLong_FromLong((long)(unsigned char)s[0]); |
| 3800 | if (key == NULL) |
| 3801 | return -1; |
| 3802 | value = self->stack->data[x - 1]; |
| 3803 | |
| 3804 | x = PyDict_SetItem(self->memo, key, value); |
| 3805 | Py_DECREF(key); |
| 3806 | return x; |
| 3807 | } |
| 3808 | |
| 3809 | static int |
| 3810 | load_long_binput(UnpicklerObject *self) |
| 3811 | { |
| 3812 | PyObject *key, *value; |
| 3813 | long k; |
| 3814 | char *s; |
| 3815 | int x; |
| 3816 | |
| 3817 | if (unpickler_read(self, &s, 4) < 0) |
| 3818 | return -1; |
| 3819 | if ((x = self->stack->length) <= 0) |
| 3820 | return stack_underflow(); |
| 3821 | |
| 3822 | k = (long)(unsigned char)s[0]; |
| 3823 | k |= (long)(unsigned char)s[1] << 8; |
| 3824 | k |= (long)(unsigned char)s[2] << 16; |
| 3825 | k |= (long)(unsigned char)s[3] << 24; |
| 3826 | |
| 3827 | key = PyLong_FromLong(k); |
| 3828 | if (key == NULL) |
| 3829 | return -1; |
| 3830 | value = self->stack->data[x - 1]; |
| 3831 | |
| 3832 | x = PyDict_SetItem(self->memo, key, value); |
| 3833 | Py_DECREF(key); |
| 3834 | return x; |
| 3835 | } |
| 3836 | |
| 3837 | static int |
| 3838 | do_append(UnpicklerObject *self, int x) |
| 3839 | { |
| 3840 | PyObject *value; |
| 3841 | PyObject *list; |
| 3842 | int len, i; |
| 3843 | |
| 3844 | len = self->stack->length; |
| 3845 | if (x > len || x <= 0) |
| 3846 | return stack_underflow(); |
| 3847 | if (len == x) /* nothing to do */ |
| 3848 | return 0; |
| 3849 | |
| 3850 | list = self->stack->data[x - 1]; |
| 3851 | |
| 3852 | if (PyList_Check(list)) { |
| 3853 | PyObject *slice; |
| 3854 | Py_ssize_t list_len; |
| 3855 | |
| 3856 | slice = Pdata_poplist(self->stack, x); |
| 3857 | if (!slice) |
| 3858 | return -1; |
| 3859 | list_len = PyList_GET_SIZE(list); |
| 3860 | i = PyList_SetSlice(list, list_len, list_len, slice); |
| 3861 | Py_DECREF(slice); |
| 3862 | return i; |
| 3863 | } |
| 3864 | else { |
| 3865 | PyObject *append_func; |
| 3866 | |
| 3867 | append_func = PyObject_GetAttrString(list, "append"); |
| 3868 | if (append_func == NULL) |
| 3869 | return -1; |
| 3870 | for (i = x; i < len; i++) { |
| 3871 | PyObject *result; |
| 3872 | |
| 3873 | value = self->stack->data[i]; |
| 3874 | result = unpickler_call(self, append_func, value); |
| 3875 | if (result == NULL) { |
| 3876 | Pdata_clear(self->stack, i + 1); |
| 3877 | self->stack->length = x; |
| 3878 | return -1; |
| 3879 | } |
| 3880 | Py_DECREF(result); |
| 3881 | } |
| 3882 | self->stack->length = x; |
| 3883 | } |
| 3884 | |
| 3885 | return 0; |
| 3886 | } |
| 3887 | |
| 3888 | static int |
| 3889 | load_append(UnpicklerObject *self) |
| 3890 | { |
| 3891 | return do_append(self, self->stack->length - 1); |
| 3892 | } |
| 3893 | |
| 3894 | static int |
| 3895 | load_appends(UnpicklerObject *self) |
| 3896 | { |
| 3897 | return do_append(self, marker(self)); |
| 3898 | } |
| 3899 | |
| 3900 | static int |
| 3901 | do_setitems(UnpicklerObject *self, int x) |
| 3902 | { |
| 3903 | PyObject *value, *key; |
| 3904 | PyObject *dict; |
| 3905 | int len, i; |
| 3906 | int status = 0; |
| 3907 | |
| 3908 | len = self->stack->length; |
| 3909 | if (x > len || x <= 0) |
| 3910 | return stack_underflow(); |
| 3911 | if (len == x) /* nothing to do */ |
| 3912 | return 0; |
| 3913 | if ((len - x) % 2 != 0) { |
| 3914 | /* Currupt or hostile pickle -- we never write one like this. */ |
| 3915 | PyErr_SetString(UnpicklingError, "odd number of items for SETITEMS"); |
| 3916 | return -1; |
| 3917 | } |
| 3918 | |
| 3919 | /* Here, dict does not actually need to be a PyDict; it could be anything |
| 3920 | that supports the __setitem__ attribute. */ |
| 3921 | dict = self->stack->data[x - 1]; |
| 3922 | |
| 3923 | for (i = x + 1; i < len; i += 2) { |
| 3924 | key = self->stack->data[i - 1]; |
| 3925 | value = self->stack->data[i]; |
| 3926 | if (PyObject_SetItem(dict, key, value) < 0) { |
| 3927 | status = -1; |
| 3928 | break; |
| 3929 | } |
| 3930 | } |
| 3931 | |
| 3932 | Pdata_clear(self->stack, x); |
| 3933 | return status; |
| 3934 | } |
| 3935 | |
| 3936 | static int |
| 3937 | load_setitem(UnpicklerObject *self) |
| 3938 | { |
| 3939 | return do_setitems(self, self->stack->length - 2); |
| 3940 | } |
| 3941 | |
| 3942 | static int |
| 3943 | load_setitems(UnpicklerObject *self) |
| 3944 | { |
| 3945 | return do_setitems(self, marker(self)); |
| 3946 | } |
| 3947 | |
| 3948 | static int |
| 3949 | load_build(UnpicklerObject *self) |
| 3950 | { |
| 3951 | PyObject *state, *inst, *slotstate; |
| 3952 | PyObject *setstate; |
| 3953 | int status = 0; |
| 3954 | |
| 3955 | /* Stack is ... instance, state. We want to leave instance at |
| 3956 | * the stack top, possibly mutated via instance.__setstate__(state). |
| 3957 | */ |
| 3958 | if (self->stack->length < 2) |
| 3959 | return stack_underflow(); |
| 3960 | |
| 3961 | PDATA_POP(self->stack, state); |
| 3962 | if (state == NULL) |
| 3963 | return -1; |
| 3964 | |
| 3965 | inst = self->stack->data[self->stack->length - 1]; |
| 3966 | |
| 3967 | setstate = PyObject_GetAttrString(inst, "__setstate__"); |
Alexandre Vassalotti | 1f9d907 | 2008-08-15 03:07:47 +0000 | [diff] [blame] | 3968 | if (setstate == NULL) { |
| 3969 | if (PyErr_ExceptionMatches(PyExc_AttributeError)) |
| 3970 | PyErr_Clear(); |
Antoine Pitrou | d79dc62 | 2008-09-05 00:03:33 +0000 | [diff] [blame] | 3971 | else { |
| 3972 | Py_DECREF(state); |
Alexandre Vassalotti | 1f9d907 | 2008-08-15 03:07:47 +0000 | [diff] [blame] | 3973 | return -1; |
Antoine Pitrou | d79dc62 | 2008-09-05 00:03:33 +0000 | [diff] [blame] | 3974 | } |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 3975 | } |
| 3976 | else { |
| 3977 | PyObject *result; |
| 3978 | |
| 3979 | /* The explicit __setstate__ is responsible for everything. */ |
Antoine Pitrou | d79dc62 | 2008-09-05 00:03:33 +0000 | [diff] [blame] | 3980 | /* Ugh... this does not leak since unpickler_call() steals the |
| 3981 | reference to state first. */ |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 3982 | result = unpickler_call(self, setstate, state); |
| 3983 | Py_DECREF(setstate); |
| 3984 | if (result == NULL) |
| 3985 | return -1; |
| 3986 | Py_DECREF(result); |
| 3987 | return 0; |
| 3988 | } |
| 3989 | |
| 3990 | /* A default __setstate__. First see whether state embeds a |
| 3991 | * slot state dict too (a proto 2 addition). |
| 3992 | */ |
| 3993 | if (PyTuple_Check(state) && Py_SIZE(state) == 2) { |
| 3994 | PyObject *tmp = state; |
| 3995 | |
| 3996 | state = PyTuple_GET_ITEM(tmp, 0); |
| 3997 | slotstate = PyTuple_GET_ITEM(tmp, 1); |
| 3998 | Py_INCREF(state); |
| 3999 | Py_INCREF(slotstate); |
| 4000 | Py_DECREF(tmp); |
| 4001 | } |
| 4002 | else |
| 4003 | slotstate = NULL; |
| 4004 | |
| 4005 | /* Set inst.__dict__ from the state dict (if any). */ |
| 4006 | if (state != Py_None) { |
| 4007 | PyObject *dict; |
| 4008 | |
| 4009 | if (!PyDict_Check(state)) { |
| 4010 | PyErr_SetString(UnpicklingError, "state is not a dictionary"); |
| 4011 | goto error; |
| 4012 | } |
| 4013 | dict = PyObject_GetAttrString(inst, "__dict__"); |
| 4014 | if (dict == NULL) |
| 4015 | goto error; |
| 4016 | |
| 4017 | PyDict_Update(dict, state); |
| 4018 | Py_DECREF(dict); |
| 4019 | } |
| 4020 | |
| 4021 | /* Also set instance attributes from the slotstate dict (if any). */ |
| 4022 | if (slotstate != NULL) { |
| 4023 | PyObject *d_key, *d_value; |
| 4024 | Py_ssize_t i; |
| 4025 | |
| 4026 | if (!PyDict_Check(slotstate)) { |
| 4027 | PyErr_SetString(UnpicklingError, |
| 4028 | "slot state is not a dictionary"); |
| 4029 | goto error; |
| 4030 | } |
| 4031 | i = 0; |
| 4032 | while (PyDict_Next(slotstate, &i, &d_key, &d_value)) { |
| 4033 | if (PyObject_SetAttr(inst, d_key, d_value) < 0) |
| 4034 | goto error; |
| 4035 | } |
| 4036 | } |
| 4037 | |
| 4038 | if (0) { |
| 4039 | error: |
| 4040 | status = -1; |
| 4041 | } |
| 4042 | |
| 4043 | Py_DECREF(state); |
| 4044 | Py_XDECREF(slotstate); |
| 4045 | return status; |
| 4046 | } |
| 4047 | |
| 4048 | static int |
| 4049 | load_mark(UnpicklerObject *self) |
| 4050 | { |
| 4051 | |
| 4052 | /* Note that we split the (pickle.py) stack into two stacks, an |
| 4053 | * object stack and a mark stack. Here we push a mark onto the |
| 4054 | * mark stack. |
| 4055 | */ |
| 4056 | |
| 4057 | if ((self->num_marks + 1) >= self->marks_size) { |
| 4058 | size_t alloc; |
| 4059 | int *marks; |
| 4060 | |
| 4061 | /* Use the size_t type to check for overflow. */ |
| 4062 | alloc = ((size_t)self->num_marks << 1) + 20; |
Alexandre Vassalotti | 7634ff5 | 2008-06-13 02:16:06 +0000 | [diff] [blame] | 4063 | if (alloc > PY_SSIZE_T_MAX || |
| 4064 | alloc <= ((size_t)self->num_marks + 1)) { |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 4065 | PyErr_NoMemory(); |
| 4066 | return -1; |
| 4067 | } |
| 4068 | |
| 4069 | if (self->marks == NULL) |
| 4070 | marks = (int *)PyMem_Malloc(alloc * sizeof(int)); |
| 4071 | else |
| 4072 | marks = (int *)PyMem_Realloc(self->marks, alloc * sizeof(int)); |
| 4073 | if (marks == NULL) { |
| 4074 | PyErr_NoMemory(); |
| 4075 | return -1; |
| 4076 | } |
| 4077 | self->marks = marks; |
| 4078 | self->marks_size = (Py_ssize_t)alloc; |
| 4079 | } |
| 4080 | |
| 4081 | self->marks[self->num_marks++] = self->stack->length; |
| 4082 | |
| 4083 | return 0; |
| 4084 | } |
| 4085 | |
| 4086 | static int |
| 4087 | load_reduce(UnpicklerObject *self) |
| 4088 | { |
| 4089 | PyObject *callable = NULL; |
| 4090 | PyObject *argtup = NULL; |
| 4091 | PyObject *obj = NULL; |
| 4092 | |
| 4093 | PDATA_POP(self->stack, argtup); |
| 4094 | if (argtup == NULL) |
| 4095 | return -1; |
| 4096 | PDATA_POP(self->stack, callable); |
| 4097 | if (callable) { |
| 4098 | obj = instantiate(callable, argtup); |
| 4099 | Py_DECREF(callable); |
| 4100 | } |
| 4101 | Py_DECREF(argtup); |
| 4102 | |
| 4103 | if (obj == NULL) |
| 4104 | return -1; |
| 4105 | |
| 4106 | PDATA_PUSH(self->stack, obj, -1); |
| 4107 | return 0; |
| 4108 | } |
| 4109 | |
| 4110 | /* Just raises an error if we don't know the protocol specified. PROTO |
| 4111 | * is the first opcode for protocols >= 2. |
| 4112 | */ |
| 4113 | static int |
| 4114 | load_proto(UnpicklerObject *self) |
| 4115 | { |
| 4116 | char *s; |
| 4117 | int i; |
| 4118 | |
| 4119 | if (unpickler_read(self, &s, 1) < 0) |
| 4120 | return -1; |
| 4121 | |
| 4122 | i = (unsigned char)s[0]; |
| 4123 | if (i <= HIGHEST_PROTOCOL) |
| 4124 | return 0; |
| 4125 | |
| 4126 | PyErr_Format(PyExc_ValueError, "unsupported pickle protocol: %d", i); |
| 4127 | return -1; |
| 4128 | } |
| 4129 | |
| 4130 | static PyObject * |
| 4131 | load(UnpicklerObject *self) |
| 4132 | { |
| 4133 | PyObject *err; |
| 4134 | PyObject *value = NULL; |
| 4135 | char *s; |
| 4136 | |
| 4137 | self->num_marks = 0; |
| 4138 | if (self->stack->length) |
| 4139 | Pdata_clear(self->stack, 0); |
| 4140 | |
| 4141 | /* Convenient macros for the dispatch while-switch loop just below. */ |
| 4142 | #define OP(opcode, load_func) \ |
| 4143 | case opcode: if (load_func(self) < 0) break; continue; |
| 4144 | |
| 4145 | #define OP_ARG(opcode, load_func, arg) \ |
| 4146 | case opcode: if (load_func(self, (arg)) < 0) break; continue; |
| 4147 | |
| 4148 | while (1) { |
| 4149 | if (unpickler_read(self, &s, 1) < 0) |
| 4150 | break; |
| 4151 | |
| 4152 | switch ((enum opcode)s[0]) { |
| 4153 | OP(NONE, load_none) |
| 4154 | OP(BININT, load_binint) |
| 4155 | OP(BININT1, load_binint1) |
| 4156 | OP(BININT2, load_binint2) |
| 4157 | OP(INT, load_int) |
| 4158 | OP(LONG, load_long) |
| 4159 | OP_ARG(LONG1, load_counted_long, 1) |
| 4160 | OP_ARG(LONG4, load_counted_long, 4) |
| 4161 | OP(FLOAT, load_float) |
| 4162 | OP(BINFLOAT, load_binfloat) |
| 4163 | OP(BINBYTES, load_binbytes) |
| 4164 | OP(SHORT_BINBYTES, load_short_binbytes) |
| 4165 | OP(BINSTRING, load_binstring) |
| 4166 | OP(SHORT_BINSTRING, load_short_binstring) |
| 4167 | OP(STRING, load_string) |
| 4168 | OP(UNICODE, load_unicode) |
| 4169 | OP(BINUNICODE, load_binunicode) |
| 4170 | OP_ARG(EMPTY_TUPLE, load_counted_tuple, 0) |
| 4171 | OP_ARG(TUPLE1, load_counted_tuple, 1) |
| 4172 | OP_ARG(TUPLE2, load_counted_tuple, 2) |
| 4173 | OP_ARG(TUPLE3, load_counted_tuple, 3) |
| 4174 | OP(TUPLE, load_tuple) |
| 4175 | OP(EMPTY_LIST, load_empty_list) |
| 4176 | OP(LIST, load_list) |
| 4177 | OP(EMPTY_DICT, load_empty_dict) |
| 4178 | OP(DICT, load_dict) |
| 4179 | OP(OBJ, load_obj) |
| 4180 | OP(INST, load_inst) |
| 4181 | OP(NEWOBJ, load_newobj) |
| 4182 | OP(GLOBAL, load_global) |
| 4183 | OP(APPEND, load_append) |
| 4184 | OP(APPENDS, load_appends) |
| 4185 | OP(BUILD, load_build) |
| 4186 | OP(DUP, load_dup) |
| 4187 | OP(BINGET, load_binget) |
| 4188 | OP(LONG_BINGET, load_long_binget) |
| 4189 | OP(GET, load_get) |
| 4190 | OP(MARK, load_mark) |
| 4191 | OP(BINPUT, load_binput) |
| 4192 | OP(LONG_BINPUT, load_long_binput) |
| 4193 | OP(PUT, load_put) |
| 4194 | OP(POP, load_pop) |
| 4195 | OP(POP_MARK, load_pop_mark) |
| 4196 | OP(SETITEM, load_setitem) |
| 4197 | OP(SETITEMS, load_setitems) |
| 4198 | OP(PERSID, load_persid) |
| 4199 | OP(BINPERSID, load_binpersid) |
| 4200 | OP(REDUCE, load_reduce) |
| 4201 | OP(PROTO, load_proto) |
| 4202 | OP_ARG(EXT1, load_extension, 1) |
| 4203 | OP_ARG(EXT2, load_extension, 2) |
| 4204 | OP_ARG(EXT4, load_extension, 4) |
| 4205 | OP_ARG(NEWTRUE, load_bool, Py_True) |
| 4206 | OP_ARG(NEWFALSE, load_bool, Py_False) |
| 4207 | |
| 4208 | case STOP: |
| 4209 | break; |
| 4210 | |
| 4211 | case '\0': |
| 4212 | PyErr_SetNone(PyExc_EOFError); |
| 4213 | return NULL; |
| 4214 | |
| 4215 | default: |
| 4216 | PyErr_Format(UnpicklingError, |
| 4217 | "invalid load key, '%c'.", s[0]); |
| 4218 | return NULL; |
| 4219 | } |
| 4220 | |
| 4221 | break; /* and we are done! */ |
| 4222 | } |
| 4223 | |
| 4224 | /* XXX: It is not clear what this is actually for. */ |
| 4225 | if ((err = PyErr_Occurred())) { |
| 4226 | if (err == PyExc_EOFError) { |
| 4227 | PyErr_SetNone(PyExc_EOFError); |
| 4228 | } |
| 4229 | return NULL; |
| 4230 | } |
| 4231 | |
| 4232 | PDATA_POP(self->stack, value); |
| 4233 | return value; |
| 4234 | } |
| 4235 | |
| 4236 | PyDoc_STRVAR(Unpickler_load_doc, |
| 4237 | "load() -> object. Load a pickle." |
| 4238 | "\n" |
| 4239 | "Read a pickled object representation from the open file object given in\n" |
| 4240 | "the constructor, and return the reconstituted object hierarchy specified\n" |
| 4241 | "therein.\n"); |
| 4242 | |
| 4243 | static PyObject * |
| 4244 | Unpickler_load(UnpicklerObject *self) |
| 4245 | { |
| 4246 | /* Check whether the Unpickler was initialized correctly. This prevents |
| 4247 | segfaulting if a subclass overridden __init__ with a function that does |
| 4248 | not call Unpickler.__init__(). Here, we simply ensure that self->read |
| 4249 | is not NULL. */ |
| 4250 | if (self->read == NULL) { |
| 4251 | PyErr_Format(UnpicklingError, |
| 4252 | "Unpickler.__init__() was not called by %s.__init__()", |
| 4253 | Py_TYPE(self)->tp_name); |
| 4254 | return NULL; |
| 4255 | } |
| 4256 | |
| 4257 | return load(self); |
| 4258 | } |
| 4259 | |
| 4260 | /* The name of find_class() is misleading. In newer pickle protocols, this |
| 4261 | function is used for loading any global (i.e., functions), not just |
| 4262 | classes. The name is kept only for backward compatibility. */ |
| 4263 | |
| 4264 | PyDoc_STRVAR(Unpickler_find_class_doc, |
| 4265 | "find_class(module_name, global_name) -> object.\n" |
| 4266 | "\n" |
| 4267 | "Return an object from a specified module, importing the module if\n" |
| 4268 | "necessary. Subclasses may override this method (e.g. to restrict\n" |
| 4269 | "unpickling of arbitrary classes and functions).\n" |
| 4270 | "\n" |
| 4271 | "This method is called whenever a class or a function object is\n" |
| 4272 | "needed. Both arguments passed are str objects.\n"); |
| 4273 | |
| 4274 | static PyObject * |
| 4275 | Unpickler_find_class(UnpicklerObject *self, PyObject *args) |
| 4276 | { |
| 4277 | PyObject *global; |
| 4278 | PyObject *modules_dict; |
| 4279 | PyObject *module; |
| 4280 | PyObject *module_name, *global_name; |
| 4281 | |
| 4282 | if (!PyArg_UnpackTuple(args, "find_class", 2, 2, |
| 4283 | &module_name, &global_name)) |
| 4284 | return NULL; |
| 4285 | |
| 4286 | modules_dict = PySys_GetObject("modules"); |
| 4287 | if (modules_dict == NULL) |
| 4288 | return NULL; |
| 4289 | |
| 4290 | module = PyDict_GetItem(modules_dict, module_name); |
| 4291 | if (module == NULL) { |
| 4292 | module = PyImport_Import(module_name); |
| 4293 | if (module == NULL) |
| 4294 | return NULL; |
| 4295 | global = PyObject_GetAttr(module, global_name); |
| 4296 | Py_DECREF(module); |
| 4297 | } |
| 4298 | else { |
| 4299 | global = PyObject_GetAttr(module, global_name); |
| 4300 | } |
| 4301 | return global; |
| 4302 | } |
| 4303 | |
| 4304 | static struct PyMethodDef Unpickler_methods[] = { |
| 4305 | {"load", (PyCFunction)Unpickler_load, METH_NOARGS, |
| 4306 | Unpickler_load_doc}, |
| 4307 | {"find_class", (PyCFunction)Unpickler_find_class, METH_VARARGS, |
| 4308 | Unpickler_find_class_doc}, |
| 4309 | {NULL, NULL} /* sentinel */ |
| 4310 | }; |
| 4311 | |
| 4312 | static void |
| 4313 | Unpickler_dealloc(UnpicklerObject *self) |
| 4314 | { |
| 4315 | PyObject_GC_UnTrack((PyObject *)self); |
| 4316 | Py_XDECREF(self->readline); |
| 4317 | Py_XDECREF(self->read); |
| 4318 | Py_XDECREF(self->memo); |
| 4319 | Py_XDECREF(self->stack); |
| 4320 | Py_XDECREF(self->pers_func); |
| 4321 | Py_XDECREF(self->arg); |
| 4322 | Py_XDECREF(self->last_string); |
| 4323 | |
| 4324 | PyMem_Free(self->marks); |
| 4325 | free(self->encoding); |
| 4326 | free(self->errors); |
| 4327 | |
| 4328 | Py_TYPE(self)->tp_free((PyObject *)self); |
| 4329 | } |
| 4330 | |
| 4331 | static int |
| 4332 | Unpickler_traverse(UnpicklerObject *self, visitproc visit, void *arg) |
| 4333 | { |
| 4334 | Py_VISIT(self->readline); |
| 4335 | Py_VISIT(self->read); |
| 4336 | Py_VISIT(self->memo); |
| 4337 | Py_VISIT(self->stack); |
| 4338 | Py_VISIT(self->pers_func); |
| 4339 | Py_VISIT(self->arg); |
| 4340 | Py_VISIT(self->last_string); |
| 4341 | return 0; |
| 4342 | } |
| 4343 | |
| 4344 | static int |
| 4345 | Unpickler_clear(UnpicklerObject *self) |
| 4346 | { |
| 4347 | Py_CLEAR(self->readline); |
| 4348 | Py_CLEAR(self->read); |
| 4349 | Py_CLEAR(self->memo); |
| 4350 | Py_CLEAR(self->stack); |
| 4351 | Py_CLEAR(self->pers_func); |
| 4352 | Py_CLEAR(self->arg); |
| 4353 | Py_CLEAR(self->last_string); |
| 4354 | |
| 4355 | PyMem_Free(self->marks); |
| 4356 | self->marks = NULL; |
| 4357 | free(self->encoding); |
| 4358 | self->encoding = NULL; |
| 4359 | free(self->errors); |
| 4360 | self->errors = NULL; |
| 4361 | |
| 4362 | return 0; |
| 4363 | } |
| 4364 | |
| 4365 | PyDoc_STRVAR(Unpickler_doc, |
| 4366 | "Unpickler(file, *, encoding='ASCII', errors='strict')" |
| 4367 | "\n" |
| 4368 | "This takes a binary file for reading a pickle data stream.\n" |
| 4369 | "\n" |
| 4370 | "The protocol version of the pickle is detected automatically, so no\n" |
| 4371 | "proto argument is needed.\n" |
| 4372 | "\n" |
| 4373 | "The file-like object must have two methods, a read() method\n" |
| 4374 | "that takes an integer argument, and a readline() method that\n" |
| 4375 | "requires no arguments. Both methods should return bytes.\n" |
| 4376 | "Thus file-like object can be a binary file object opened for\n" |
| 4377 | "reading, a BytesIO object, or any other custom object that\n" |
| 4378 | "meets this interface.\n" |
| 4379 | "\n" |
| 4380 | "Optional keyword arguments are encoding and errors, which are\n" |
| 4381 | "used to decode 8-bit string instances pickled by Python 2.x.\n" |
| 4382 | "These default to 'ASCII' and 'strict', respectively.\n"); |
| 4383 | |
| 4384 | static int |
| 4385 | Unpickler_init(UnpicklerObject *self, PyObject *args, PyObject *kwds) |
| 4386 | { |
| 4387 | static char *kwlist[] = {"file", "encoding", "errors", 0}; |
| 4388 | PyObject *file; |
| 4389 | char *encoding = NULL; |
| 4390 | char *errors = NULL; |
| 4391 | |
| 4392 | /* XXX: That is an horrible error message. But, I don't know how to do |
| 4393 | better... */ |
| 4394 | if (Py_SIZE(args) != 1) { |
| 4395 | PyErr_Format(PyExc_TypeError, |
| 4396 | "%s takes exactly one positional argument (%zd given)", |
| 4397 | Py_TYPE(self)->tp_name, Py_SIZE(args)); |
| 4398 | return -1; |
| 4399 | } |
| 4400 | |
| 4401 | /* Arguments parsing needs to be done in the __init__() method to allow |
| 4402 | subclasses to define their own __init__() method, which may (or may |
| 4403 | not) support Unpickler arguments. However, this means we need to be |
| 4404 | extra careful in the other Unpickler methods, since a subclass could |
| 4405 | forget to call Unpickler.__init__() thus breaking our internal |
| 4406 | invariants. */ |
| 4407 | if (!PyArg_ParseTupleAndKeywords(args, kwds, "O|ss:Unpickler", kwlist, |
| 4408 | &file, &encoding, &errors)) |
| 4409 | return -1; |
| 4410 | |
| 4411 | /* In case of multiple __init__() calls, clear previous content. */ |
| 4412 | if (self->read != NULL) |
| 4413 | (void)Unpickler_clear(self); |
| 4414 | |
| 4415 | self->read = PyObject_GetAttrString(file, "read"); |
| 4416 | self->readline = PyObject_GetAttrString(file, "readline"); |
| 4417 | if (self->readline == NULL || self->read == NULL) |
| 4418 | return -1; |
| 4419 | |
| 4420 | if (encoding == NULL) |
| 4421 | encoding = "ASCII"; |
| 4422 | if (errors == NULL) |
| 4423 | errors = "strict"; |
| 4424 | |
| 4425 | self->encoding = strdup(encoding); |
| 4426 | self->errors = strdup(errors); |
| 4427 | if (self->encoding == NULL || self->errors == NULL) { |
| 4428 | PyErr_NoMemory(); |
| 4429 | return -1; |
| 4430 | } |
| 4431 | |
| 4432 | if (PyObject_HasAttrString((PyObject *)self, "persistent_load")) { |
| 4433 | self->pers_func = PyObject_GetAttrString((PyObject *)self, |
| 4434 | "persistent_load"); |
| 4435 | if (self->pers_func == NULL) |
| 4436 | return -1; |
| 4437 | } |
| 4438 | else { |
| 4439 | self->pers_func = NULL; |
| 4440 | } |
| 4441 | |
| 4442 | self->stack = (Pdata *)Pdata_New(); |
| 4443 | if (self->stack == NULL) |
| 4444 | return -1; |
| 4445 | |
| 4446 | self->memo = PyDict_New(); |
| 4447 | if (self->memo == NULL) |
| 4448 | return -1; |
| 4449 | |
| 4450 | return 0; |
| 4451 | } |
| 4452 | |
| 4453 | static PyObject * |
| 4454 | Unpickler_get_memo(UnpicklerObject *self) |
| 4455 | { |
| 4456 | if (self->memo == NULL) |
| 4457 | PyErr_SetString(PyExc_AttributeError, "memo"); |
| 4458 | else |
| 4459 | Py_INCREF(self->memo); |
| 4460 | return self->memo; |
| 4461 | } |
| 4462 | |
| 4463 | static int |
| 4464 | Unpickler_set_memo(UnpicklerObject *self, PyObject *value) |
| 4465 | { |
| 4466 | PyObject *tmp; |
| 4467 | |
| 4468 | if (value == NULL) { |
| 4469 | PyErr_SetString(PyExc_TypeError, |
| 4470 | "attribute deletion is not supported"); |
| 4471 | return -1; |
| 4472 | } |
| 4473 | if (!PyDict_Check(value)) { |
| 4474 | PyErr_SetString(PyExc_TypeError, "memo must be a dictionary"); |
| 4475 | return -1; |
| 4476 | } |
| 4477 | |
| 4478 | tmp = self->memo; |
| 4479 | Py_INCREF(value); |
| 4480 | self->memo = value; |
| 4481 | Py_XDECREF(tmp); |
| 4482 | |
| 4483 | return 0; |
| 4484 | } |
| 4485 | |
| 4486 | static PyObject * |
| 4487 | Unpickler_get_persload(UnpicklerObject *self) |
| 4488 | { |
| 4489 | if (self->pers_func == NULL) |
| 4490 | PyErr_SetString(PyExc_AttributeError, "persistent_load"); |
| 4491 | else |
| 4492 | Py_INCREF(self->pers_func); |
| 4493 | return self->pers_func; |
| 4494 | } |
| 4495 | |
| 4496 | static int |
| 4497 | Unpickler_set_persload(UnpicklerObject *self, PyObject *value) |
| 4498 | { |
| 4499 | PyObject *tmp; |
| 4500 | |
| 4501 | if (value == NULL) { |
| 4502 | PyErr_SetString(PyExc_TypeError, |
| 4503 | "attribute deletion is not supported"); |
| 4504 | return -1; |
| 4505 | } |
| 4506 | if (!PyCallable_Check(value)) { |
| 4507 | PyErr_SetString(PyExc_TypeError, |
| 4508 | "persistent_load must be a callable taking " |
| 4509 | "one argument"); |
| 4510 | return -1; |
| 4511 | } |
| 4512 | |
| 4513 | tmp = self->pers_func; |
| 4514 | Py_INCREF(value); |
| 4515 | self->pers_func = value; |
| 4516 | Py_XDECREF(tmp); /* self->pers_func can be NULL, so be careful. */ |
| 4517 | |
| 4518 | return 0; |
| 4519 | } |
| 4520 | |
| 4521 | static PyGetSetDef Unpickler_getsets[] = { |
| 4522 | {"memo", (getter)Unpickler_get_memo, (setter)Unpickler_set_memo}, |
| 4523 | {"persistent_load", (getter)Unpickler_get_persload, |
| 4524 | (setter)Unpickler_set_persload}, |
| 4525 | {NULL} |
| 4526 | }; |
| 4527 | |
| 4528 | static PyTypeObject Unpickler_Type = { |
| 4529 | PyVarObject_HEAD_INIT(NULL, 0) |
| 4530 | "_pickle.Unpickler", /*tp_name*/ |
| 4531 | sizeof(UnpicklerObject), /*tp_basicsize*/ |
| 4532 | 0, /*tp_itemsize*/ |
| 4533 | (destructor)Unpickler_dealloc, /*tp_dealloc*/ |
| 4534 | 0, /*tp_print*/ |
| 4535 | 0, /*tp_getattr*/ |
| 4536 | 0, /*tp_setattr*/ |
Mark Dickinson | e94c679 | 2009-02-02 20:36:42 +0000 | [diff] [blame] | 4537 | 0, /*tp_reserved*/ |
Alexandre Vassalotti | ca2d610 | 2008-06-12 18:26:05 +0000 | [diff] [blame] | 4538 | 0, /*tp_repr*/ |
| 4539 | 0, /*tp_as_number*/ |
| 4540 | 0, /*tp_as_sequence*/ |
| 4541 | 0, /*tp_as_mapping*/ |
| 4542 | 0, /*tp_hash*/ |
| 4543 | 0, /*tp_call*/ |
| 4544 | 0, /*tp_str*/ |
| 4545 | 0, /*tp_getattro*/ |
| 4546 | 0, /*tp_setattro*/ |
| 4547 | 0, /*tp_as_buffer*/ |
| 4548 | Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE | Py_TPFLAGS_HAVE_GC, |
| 4549 | Unpickler_doc, /*tp_doc*/ |
| 4550 | (traverseproc)Unpickler_traverse, /*tp_traverse*/ |
| 4551 | (inquiry)Unpickler_clear, /*tp_clear*/ |
| 4552 | 0, /*tp_richcompare*/ |
| 4553 | 0, /*tp_weaklistoffset*/ |
| 4554 | 0, /*tp_iter*/ |
| 4555 | 0, /*tp_iternext*/ |
| 4556 | Unpickler_methods, /*tp_methods*/ |
| 4557 | 0, /*tp_members*/ |
| 4558 | Unpickler_getsets, /*tp_getset*/ |
| 4559 | 0, /*tp_base*/ |
| 4560 | 0, /*tp_dict*/ |
| 4561 | 0, /*tp_descr_get*/ |
| 4562 | 0, /*tp_descr_set*/ |
| 4563 | 0, /*tp_dictoffset*/ |
| 4564 | (initproc)Unpickler_init, /*tp_init*/ |
| 4565 | PyType_GenericAlloc, /*tp_alloc*/ |
| 4566 | PyType_GenericNew, /*tp_new*/ |
| 4567 | PyObject_GC_Del, /*tp_free*/ |
| 4568 | 0, /*tp_is_gc*/ |
| 4569 | }; |
| 4570 | |
| 4571 | static int |
| 4572 | init_stuff(void) |
| 4573 | { |
| 4574 | PyObject *copyreg; |
| 4575 | |
| 4576 | copyreg = PyImport_ImportModule("copyreg"); |
| 4577 | if (!copyreg) |
| 4578 | return -1; |
| 4579 | |
| 4580 | dispatch_table = PyObject_GetAttrString(copyreg, "dispatch_table"); |
| 4581 | if (!dispatch_table) |
| 4582 | goto error; |
| 4583 | |
| 4584 | extension_registry = \ |
| 4585 | PyObject_GetAttrString(copyreg, "_extension_registry"); |
| 4586 | if (!extension_registry) |
| 4587 | goto error; |
| 4588 | |
| 4589 | inverted_registry = PyObject_GetAttrString(copyreg, "_inverted_registry"); |
| 4590 | if (!inverted_registry) |
| 4591 | goto error; |
| 4592 | |
| 4593 | extension_cache = PyObject_GetAttrString(copyreg, "_extension_cache"); |
| 4594 | if (!extension_cache) |
| 4595 | goto error; |
| 4596 | |
| 4597 | Py_DECREF(copyreg); |
| 4598 | |
| 4599 | empty_tuple = PyTuple_New(0); |
| 4600 | if (empty_tuple == NULL) |
| 4601 | return -1; |
| 4602 | |
| 4603 | two_tuple = PyTuple_New(2); |
| 4604 | if (two_tuple == NULL) |
| 4605 | return -1; |
| 4606 | /* We use this temp container with no regard to refcounts, or to |
| 4607 | * keeping containees alive. Exempt from GC, because we don't |
| 4608 | * want anything looking at two_tuple() by magic. |
| 4609 | */ |
| 4610 | PyObject_GC_UnTrack(two_tuple); |
| 4611 | |
| 4612 | return 0; |
| 4613 | |
| 4614 | error: |
| 4615 | Py_DECREF(copyreg); |
| 4616 | return -1; |
| 4617 | } |
| 4618 | |
| 4619 | static struct PyModuleDef _picklemodule = { |
| 4620 | PyModuleDef_HEAD_INIT, |
| 4621 | "_pickle", |
| 4622 | pickle_module_doc, |
| 4623 | -1, |
| 4624 | NULL, |
| 4625 | NULL, |
| 4626 | NULL, |
| 4627 | NULL, |
| 4628 | NULL |
| 4629 | }; |
| 4630 | |
| 4631 | PyMODINIT_FUNC |
| 4632 | PyInit__pickle(void) |
| 4633 | { |
| 4634 | PyObject *m; |
| 4635 | |
| 4636 | if (PyType_Ready(&Unpickler_Type) < 0) |
| 4637 | return NULL; |
| 4638 | if (PyType_Ready(&Pickler_Type) < 0) |
| 4639 | return NULL; |
| 4640 | if (PyType_Ready(&Pdata_Type) < 0) |
| 4641 | return NULL; |
| 4642 | |
| 4643 | /* Create the module and add the functions. */ |
| 4644 | m = PyModule_Create(&_picklemodule); |
| 4645 | if (m == NULL) |
| 4646 | return NULL; |
| 4647 | |
| 4648 | if (PyModule_AddObject(m, "Pickler", (PyObject *)&Pickler_Type) < 0) |
| 4649 | return NULL; |
| 4650 | if (PyModule_AddObject(m, "Unpickler", (PyObject *)&Unpickler_Type) < 0) |
| 4651 | return NULL; |
| 4652 | |
| 4653 | /* Initialize the exceptions. */ |
| 4654 | PickleError = PyErr_NewException("_pickle.PickleError", NULL, NULL); |
| 4655 | if (PickleError == NULL) |
| 4656 | return NULL; |
| 4657 | PicklingError = \ |
| 4658 | PyErr_NewException("_pickle.PicklingError", PickleError, NULL); |
| 4659 | if (PicklingError == NULL) |
| 4660 | return NULL; |
| 4661 | UnpicklingError = \ |
| 4662 | PyErr_NewException("_pickle.UnpicklingError", PickleError, NULL); |
| 4663 | if (UnpicklingError == NULL) |
| 4664 | return NULL; |
| 4665 | |
| 4666 | if (PyModule_AddObject(m, "PickleError", PickleError) < 0) |
| 4667 | return NULL; |
| 4668 | if (PyModule_AddObject(m, "PicklingError", PicklingError) < 0) |
| 4669 | return NULL; |
| 4670 | if (PyModule_AddObject(m, "UnpicklingError", UnpicklingError) < 0) |
| 4671 | return NULL; |
| 4672 | |
| 4673 | if (init_stuff() < 0) |
| 4674 | return NULL; |
| 4675 | |
| 4676 | return m; |
| 4677 | } |