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H=gHt H+HoHNH=3Ht H+HoHH=7Ht H+HoHHHt.H+HjHډvy4H=F A5E1[L]A\A]A^Ly5E1H+ImtyL)H= E14B585=.5_$555547L4D4fL.H= |4!H/H=h c44H,H=O J4H-H=6 14H*H= 4H+H= 32H1H= 3H0H= 3H2H= 3 H3H= 3L3H5pL3H[HJHhL9t:HjZHU(H5'H818 LH=1 ,3H5L83HHLpI9t1HZIV(H5H818HE1#3H5L2H HH@L9uKH+Imtwx_1r5H#HYX5HHH<8HP(H`YH5H817LH=+ &2Ll2f.ATIUSHWLGHHxKH- x^Hr2HHI<HtHQYH(Hou 2MD$HsIT$ID$[H1]LA\2fDHHx1MD$닐IHHIHLH!HHHH0Ht[H9tVHHTLH!HLH0H9t8Hu1f.H9t"HHHTLH!HLH0HuHH/builddir/build/BUILD/Python-3.3.7/Modules/_pickle.c(new_size & (new_size - 1)) == 0PyBytes_Check(self->output_buffer)file must have a 'write' attributefile must have 'read' and 'readline' attributesmemo id too large for LONG_BINPUTmemo id too large for LONG_BINGETCan't pickle %R: import of module %R failedCan't pickle %R: attribute lookup %S.%S failedCan't pickle %R: it's not the same object as %S.%SCan't pickle %R: extension code %R isn't an integerCan't pickle %R: extension code %ld is out of range_compat_pickle.REVERSE_NAME_MAPPING values should be 2-tuples, not %.200s_compat_pickle.REVERSE_NAME_MAPPING values should be pairs of str, not (%.200s, %.200s)_compat_pickle.REVERSE_IMPORT_MAPPING values should be strings, not %.200scan't pickle module identifier '%S' using pickle protocol %ican't pickle global identifier '%S' using pickle protocol %iattribute deletion is not supportedpersistent_id must be a callable taking one argumentpersistent_load must be a callable taking one argument_compat_pickle.NAME_MAPPING values should be 2-tuples, not %.200s_compat_pickle.NAME_MAPPING values should be pairs of str, not (%.200s, %.200s)_compat_pickle.IMPORT_MAPPING values should be strings, not %.200snbytes == 1 || nbytes == 2 || nbytes == 4unregistered extension code %ld_inverted_registry[%ld] isn't a 2-tuple of stringsfast mode: can't pickle cyclic objects including object type %.200s at %p'memo' values must be 2-item tuples'memo' attribute must be an PicklerMemoProxy objector dict, not %.200smemo key must be positive integers.'memo' attribute must be an UnpicklerMemoProxy objector dict, not %.200sLONG pickle has negative byte countodd number of items for SETITEMS%s takes exactly one positional argument (%zd given)could not convert string to intcould not convert string to floatBINSTRING pickle has negative byte countNEWOBJ class argument isn't a type objectNEWOBJ class argument has NULL tp_newslot state is not a dictionaryA load persistent id instruction was encountered, but no persistent_load function was specified.unsupported pickle protocol: %dUnpickler.__init__() was not called by %s.__init__()pickle.load() takes exactly one positional argument (%zd given)pickle.loads() takes exactly one positional argument (%zd given)cannot serialize a bytes object larger than 4 GiBcannot serialize a string larger than 4 GiB((PyUnicodeObject*)(obj))->data.anydictionary changed size during iterationcan't pickle '%.200s' object: %R__reduce__ must return a string or tupledict items iterator must return 2-tuplestuple returned by __reduce__ must contain 2 through 5 elementsfirst item of the tuple returned by __reduce__ must be callablesecond item of the tuple returned by __reduce__ must be a tuplefourth element of the tuple returned by __reduce__ must be an iterator, not %sfifth element of the tuple returned by __reduce__ must be an iterator, not %sargs[0] from __newobj__ args is not a typeargs[0] from __newobj__ args has the wrong classself->proto >= 0 && self->proto < 256Pickler.__init__() was not called by %s.__init__()pickle.dump() takes at most 3 positional argument (%zd given)pickle.dumps() takes at most 2 positional argument (%zd given)_compat_pickle.NAME_MAPPING should be a dict, not %.200s_compat_pickle.IMPORT_MAPPING should be a dict, not %.200s_compat_pickle.REVERSE_NAME_MAPPING should be a dict, not %.200s_compat_pickle.REVERSE_IMPORT_MAPPING should be a dict, not %.200skey != NULLmin_size > 0new_size > self->memo_sizeidx < self->memo_sizeself->output_buffer != NULLself->write != NULLs != NULLpickle protocol must be <= %dpersistent_idpersistent_loadunpickling stack underflowfile != NULLself->peekself->read != NULLPyBytes_Check(prefetched)Ran out of input%zd __name____module____main__modulesPyBytes_Check(encoded)find_classO|OO:PicklerEXT specifies code <= 0OOnOmemo key must be integerssize == 1 || size == 4PyTuple_Check(args)ASCIIstrictO|Oss:Unpicklerpickle data was truncatedinsecure string picklesurrogatepassbad pickle datacould not find MARKNEWOBJ expected an arg tuple.state is not a dictionarynegative PUT argumentinvalid load key, '%c'.O|Oss:loadO|Oss:loads while pickling an objectEllipsisNotImplemented%ldL int too large to picklePyBytes_Check(repr)codecsencodePyBytes_Check(obj)(O())(O(OO))latin1utf-8PyUnicode_Check(obj)PyUnicode_IS_READY(obj)PyByteArray_Check(repr)self->proto > 0()PyList_CheckExact(obj)__reduce____reduce_ex__PyTuple_Size(t) == leniter != NULLsave_reduce__newobj____newobj__ arglist is empty__class__O(O)OO|OO:dumpO|OO:dumps_pickle.PickleError_pickle.PicklingError_pickle.UnpicklingErrorcopyregdispatch_table_extension_registry_inverted_registry_extension_cache_compat_pickleREVERSE_NAME_MAPPINGREVERSE_IMPORT_MAPPINGclearcopybinfastclear_memofix_importsencodingerrorsfileobjprotocol_pickle.UnpicklerMemoProxy__dict____setstate__append__new____getinitargs___pickle.PicklerMemoProxyI00 I01 itemsreadlineread_pickle.Unpicklerwrite_pickle.Pickler_pickle.Pdata`0ssssrsȇssssssssssssssspssȉs؅@rs@Ѓpzy{xs@yssssxsssywЄP|s|8}`wswss x  sssssssttXt8ts0srrPrxtt_Pickler_GetStringload_extensioninstantiateload_counted_longdumpsave_longsave_bytesraw_unicode_escapesave_unicodebatch_dict_exactbatch_list_exactsave_globalbatch_dictbatch_liststore_tuple_elements_Unpickler_ResizeMemoList_Unpickler_MemoPut_Unpickler_ReadFromFile_Unpickler_SkipConsumed_Pickler_SetOutputStream_Pickler_Write_Pickler_FlushToFile_PyMemoTable_ResizeTablePyMemoTable_Set;U8hXH\HX@dhh@ 8 h!D"x#($H&h'h)8*dX**h++ ,4.`123D 4x (6 C C, Dd G H HH J J HM8 M` (N O S TL V X Y h[D [l \ ^ ha,bX8cefLilk8n 8ؚ| ȿ\hH(@x(TH0zRx $`0FJ w?:*3$"Dh 4\@}FDD ` ABG AAB4FDD x ABG AAB8FBD A(D0S (D ABBK 40\BAA \ DBJ YAB hsQb E NRZ sQb E NRZ$lB} A W I j(BDA ` ABF 48iBBD D(D0R(A ABB<pBj D ,\FAA n ABG `PBBB A(A0t (A BBBE  (C BBBF y (C BBBF L FBBB D(D0E (A BBBF U (C BBBB @ %AA^0\ $BDD G0h  AABC 0$BDD G0h  AABC }AG H l xAD0 AE 0dBBA D0  ABBC <PB H ] C `L Ba E ] K (("IDA AB"@hW"@hWH"BBB A(A0 (A BBBH Z(H BBB 4x#AD f AA $X#TOEHl A (|$AKJ R AAF @ &WBBB A(A0D@g 0D(A BBBB 8<)BDD H ABK U ABA `,)TBBB D(A0 (D BBBA o (D BBBG U (I EBBA 0*BBA GP~  ABBA (x+&BDJP ABI L|, BBE E(A0A8D 8D0A(B BBBI 4@ 9EAD P AAD h CAA 4x9EAD P AAD h CAA (<:EKQP AAG =aAU D FP=2Hi(x=iEAG > CAA @?6Hm(X?IFAG  ABH $BmEi J I O X$PBmEi J I O X0BEHTHkPRHA@ AAE @ 4DBBB A(A0D@ 0A(A BBBH HL G!FBB E(A0A8D@ 8D0A(B BBBH 8 tHLFAA W ABF \ AEF H IFBB B(A0A8GPD 8D0A(B BBBJ 8 KLFAA W ABF \ AEF 0\ LpBDA J0p  AABK $ NJFAN nDB$ DNJFAN nDBH lNFBB B(A0A8Dp 8A0A(B BBBH H, PFBB B(A0A8Dp 8A0A(B BBBG (x 4S*AAD@ AAE ( 8TAD h DO ^ RE x TlBBE B(A0A8DP 8A0A(B BBBH  8F0A(B BBBK T 8A0A(B BBBB HL VBBB B(D0A8D@ 8D0A(B BBBE  TWiEC P  YE I @ T\FFAA JPJXM`RXAPL  AABD L `^a*BBB B(A0A8G5 8A0A(B BBBH l @\c@ FGA D`GhMpRhA`  AABB H T<FHA A(DpGxMRxApO (A ABBH @HAAJ0} AAE S AAK L FAE LX!BBB B(D0D8JX 8D0A(B BBBA HdBHD D(D0 (F ABBH D (C ABBA HBBB B(A0A8DPW 8A0A(B BBBA H@LBBB B(A0A8DP 8A0A(B BBBA TLBBE D(D0DpWxZFFUp 0A(A BBBG p@BNK v BBK L BBH X BBA (HBDG0| ABD (tFAG0 DBK 4\FGDP@XM`RXAP ABF ,EJPwXT`RXAP AE @FBI D(A0~ (D BBBA ,LFDA f GEK |p0ONi44  4 @ hho   k / ooooo i0@@@P@`@p@@@@@@@@@AA A0A@APA`ApAAAAAAAAABB B0B@BPB`BpBBBBBBBBBCC C0C@CPC`CpCCCCCCCCCDD D0D@DPD`DpDDDDDDDDDEE E0E@EPE`EpEEEEEEEEEFF F0F@FPF`FpFFFFFFFFFGG G0G@Gloads(input, *, fix_imports=True, encoding='ASCII', errors='strict') -> object Read a pickled object hierarchy from a bytes object and return the reconstituted object hierarchy specified therein The protocol version of the pickle is detected automatically, so no protocol argument is needed. Bytes past the pickled object's representation are ignored. Optional keyword arguments are fix_imports, encoding and errors, which are used to control compatiblity support for pickle stream generated by Python 2.x. If fix_imports is True, pickle will try to map the old Python 2.x names to the new names used in Python 3.x. The encoding and errors tell pickle how to decode 8-bit string instances pickled by Python 2.x; these default to 'ASCII' and 'strict', respectively. load(file, *, fix_imports=True, encoding='ASCII', errors='strict') -> object Read a pickled object representation from the open file object file and return the reconstituted object hierarchy specified therein. This is equivalent to ``Unpickler(file).load()``, but may be more efficient. The protocol version of the pickle is detected automatically, so no protocol argument is needed. Bytes past the pickled object's representation are ignored. The argument file must have two methods, a read() method that takes an integer argument, and a readline() method that requires no arguments. Both methods should return bytes. Thus *file* can be a binary file object opened for reading, a BytesIO object, or any other custom object that meets this interface. Optional keyword arguments are fix_imports, encoding and errors, which are used to control compatiblity support for pickle stream generated by Python 2.x. If fix_imports is True, pickle will try to map the old Python 2.x names to the new names used in Python 3.x. The encoding and errors tell pickle how to decode 8-bit string instances pickled by Python 2.x; these default to 'ASCII' and 'strict', respectively. dumps(obj, protocol=None, *, fix_imports=True) -> bytes Return the pickled representation of the object as a bytes object, instead of writing it to a file. The optional protocol argument tells the pickler to use the given protocol; supported protocols are 0, 1, 2, 3. The default protocol is 3; a backward-incompatible protocol designed for Python 3.0. Specifying a negative protocol version selects the highest protocol version supported. The higher the protocol used, the more recent the version of Python needed to read the pickle produced. If fix_imports is True and *protocol* is less than 3, pickle will try to map the new Python 3.x names to the old module names used in Python 2.x, so that the pickle data stream is readable with Python 2.x. dump(obj, file, protocol=None, *, fix_imports=True) -> None Write a pickled representation of obj to the open file object file. This is equivalent to ``Pickler(file, protocol).dump(obj)``, but may be more efficient. The optional protocol argument tells the pickler to use the given protocol; supported protocols are 0, 1, 2, 3. The default protocol is 3; a backward-incompatible protocol designed for Python 3.0. Specifying a negative protocol version selects the highest protocol version supported. The higher the protocol used, the more recent the version of Python needed to read the pickle produced. The file argument must have a write() method that accepts a single bytes argument. It can thus be a file object opened for binary writing, a io.BytesIO instance, or any other custom object that meets this interface. If fix_imports is True and protocol is less than 3, pickle will try to map the new Python 3.x names to the old module names used in Python 2.x, so that the pickle data stream is readable with Python 2.x. Optimized C implementation for the Python pickle module.memo.__reduce__(). Pickling support.memo.copy() -> new_memo. Copy the memo to a new object.memo.clear() -> None. Remove all items from memo.memo.__reduce__(). Pickling support.memo.copy() -> new_memo. Copy the memo to a new object.memo.clear() -> None. Remove all items from memo.find_class(module_name, global_name) -> object. Return an object from a specified module, importing the module if necessary. Subclasses may override this method (e.g. to restrict unpickling of arbitrary classes and functions). This method is called whenever a class or a function object is needed. Both arguments passed are str objects. load() -> object. Load a pickle. Read a pickled object representation from the open file object given in the constructor, and return the reconstituted object hierarchy specified therein. Unpickler(file, *, encoding='ASCII', errors='strict') This takes a binary file for reading a pickle data stream. The protocol version of the pickle is detected automatically, so no proto argument is needed. The file-like object must have two methods, a read() method that takes an integer argument, and a readline() method that requires no arguments. Both methods should return bytes. Thus file-like object can be a binary file object opened for reading, a BytesIO object, or any other custom object that meets this interface. Optional keyword arguments are *fix_imports*, *encoding* and *errors*, which are used to control compatiblity support for pickle stream generated by Python 2.x. If *fix_imports* is True, pickle will try to map the old Python 2.x names to the new names used in Python 3.x. The *encoding* and *errors* tell pickle how to decode 8-bit string instances pickled by Python 2.x; these default to 'ASCII' and 'strict', respectively. clear_memo() -> None. Clears the pickler's "memo". The memo is the data structure that remembers which objects the pickler has already seen, so that shared or recursive objects are pickled by reference and not by value. This method is useful when re-using picklers.dump(obj) -> None. Write a pickled representation of obj to the open file.Pickler(file, protocol=None) This takes a binary file for writing a pickle data stream. The optional protocol argument tells the pickler to use the given protocol; supported protocols are 0, 1, 2, 3. The default protocol is 3; a backward-incompatible protocol designed for Python 3.0. Specifying a negative protocol version selects the highest protocol version supported. The higher the protocol used, the more recent the version of Python needed to read the pickle produced. The file argument must have a write() method that accepts a single bytes argument. It can thus be a file object opened for binary writing, a io.BytesIO instance, or any other custom object that meets this interface. 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