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(1IF@aLL-|6DP EJDH A4$2A9n @$K HL$HT$Ht$ H|$UHt$@1L讴 EFXLl$PEt"MN`ItM^@I M)I DP ARA;$P  I~ Hd M}I9 L;-Nd  L;-d  L;=d L;=c IFLHHH(HpH!IIN M]L;=c  L;=qd KL;=4d %L;=d  L;=Zd  L;=ud 7L;=Pc L;=c L;-Fd  L;-d  L;-Tc  1LLaJD@ EHDH A4$E1HD$(4vDH|$HL$PHT$@Ht$`wHt$@1Lز.Ht$P1LAnXE1AIn@ID-I;FHd MF8EMH  AD( sIF@E1}Dx E$$E_ADX  A2E9~ R@$EVpE| H\$xdH3%(D9 HĈ[]A\A]A^A_LLE1HD$(Dh A4$EMDH 2A9} @$H|$(#MtI/uMGLAP0M9L\9MLH!HH<HzI9IIOLOMI!IJHJI9~HH MD;O MI!INMM9tRHJD JCan't pickle local object %RI01 I00 could not find MARKpickle data was truncatednOASCIIstrictmemo key must be integersodd number of items for DICTunexpected MARK foundunpickling stack underflowfind_classunable to get sys.modulesEXT specifies code <= 0OOsurrogatepassbytes%zd utf-8int too large to pickleRan out of inputNEWOBJ expected an arg tuple.STACK_GLOBAL requires strstate is not a dictionarynegative PUT argumentinvalid load key, '%c'.invalid load key, '\x%02x'. while pickling an objectsave_reduce__newobj__ arglist is emptyO(O)__main__(O(OO))(O(O))(O())_pickle.PickleError_pickle.PicklingError_pickle.UnpicklingErrorcopyregdispatch_table_extension_registry_inverted_registry_extension_cache_compat_pickleREVERSE_NAME_MAPPINGREVERSE_IMPORT_MAPPINGcodecsencodefunctoolspartialgetattrobjfileprotocolfix_importsOO|O$p:dumpO|O$p:dumpsencodingerrorsO|$pss:loadO|$pss:loads__dict____setstate__append__new____getinitargs__addreadlinereadpeekO|$pss:Unpickler__class____newobj____newobj_ex____name____module____qualname__itemslatin1__reduce____reduce_ex__writeO|Op:Pickler_pickle.UnpicklerMemoProxyclearcopy__sizeof__binfast_pickle.PicklerMemoProxyclear_memo_pickle.Unpickler_pickle.Pickler_pickle.Pdatafile must have 'read' and 'readline' attributesattribute deletion is not supportedpersistent_load must be a callable taking one argumentpersistent_id must be a callable taking one argumentCan't pickle local attribute %R on %Rfile must have a 'write' attributefast mode: can't pickle cyclic objects including object type %.200s at %pmemo key must be positive integers.'memo' attribute must be an UnpicklerMemoProxy object or dict, not %.200sA load persistent id instruction was encountered, but no persistent_load function was specified.NEWOBJ_EX class argument must be a type, not %.200sNEWOBJ_EX class argument doesn't have __new__odd number of items for SETITEMS'memo' values must be 2-item tuples'memo' attribute must be a PicklerMemoProxy object or dict, not %.200s_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 %.200sread would overflow (invalid bytecode)unregistered extension code %ld_inverted_registry[%ld] isn't a 2-tuple of stringsBINUNICODE exceeds system's maximum size of %zd bytesBINBYTES exceeds system's maximum size of %zd bytesBINSTRING exceeds system's maximum size of %zd bytesLONG pickle has negative byte countpersistent IDs in protocol 0 must be ASCII stringsthe STRING opcode argument must be quotedcould not convert string to floatmemo id too large for LONG_BINGETmemo id too large for LONG_BINPUTcannot serialize a string larger than 4GiBcould not convert string to intNEWOBJ class argument isn't a type objectNEWOBJ class argument has NULL tp_newslot state is not a dictionaryunsupported pickle protocol: %dFRAME length exceeds system's maximum of %zd bytesUnpickler.__init__() was not called by %s.__init__()can'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 %slength of the NEWOBJ_EX argument tuple must be exactly 3, not %zdfirst item from NEWOBJ_EX argument tuple must be a class, not %.200ssecond item from NEWOBJ_EX argument tuple must be a tuple, not %.200sthird item from NEWOBJ_EX argument tuple must be a dict, not %.200sargs[0] from __newobj__ args is not a typeargs[0] from __newobj__ args has the wrong classCan't pickle %R: import of module %R failedCan't pickle %R: attribute lookup %S on %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 %iset changed size during iterationcannot serialize a bytes object larger than 4 GiBdictionary changed size during iterationPickler.__init__() was not called by %s.__init__()copyreg.dispatch_table should be a dict, not %.200scopyreg._extension_registry should be a dict, not %.200scopyreg._inverted_registry should be a dict, not %.200scopyreg._extension_cache should be a dict, not %.200s_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 %.200scodecs.encode should be a callable, not %.200s;$H@Sg@x-_ 7@aX(8jrp. 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The protocol version of the pickle is detected automatically, so no protocol argument is needed. Bytes past the pickled object's representation are ignored. Optional keyword arguments are *fix_imports*, *encoding* and *errors*, which are used to control compatibility support for pickle stream generated by Python 2. If *fix_imports* is True, pickle will try to map the old Python 2 names to the new names used in Python 3. The *encoding* and *errors* tell pickle how to decode 8-bit string instances pickled by Python 2; these default to 'ASCII' and 'strict', respectively. The *encoding* can be 'bytes' to read these 8-bit string instances as bytes objects.load($module, /, file, *, fix_imports=True, encoding='ASCII', errors='strict') -- Read and return an object from the pickle data stored in a file. 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, an io.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 compatibility support for pickle stream generated by Python 2. If *fix_imports* is True, pickle will try to map the old Python 2 names to the new names used in Python 3. The *encoding* and *errors* tell pickle how to decode 8-bit string instances pickled by Python 2; these default to 'ASCII' and 'strict', respectively. The *encoding* can be 'bytes' to read these 8-bit string instances as bytes objects.dumps($module, /, obj, protocol=None, *, fix_imports=True) -- Return the pickled representation of the object as a bytes object. The optional *protocol* argument tells the pickler to use the given protocol; supported protocols are 0, 1, 2, 3 and 4. The default protocol is 3; a backward-incompatible protocol designed for Python 3. Specifying a negative protocol version selects the highest protocol version supported. The higher the protocol used, the more recent the version of Python needed to read the pickle produced. If *fix_imports* is True and *protocol* is less than 3, pickle will try to map the new Python 3 names to the old module names used in Python 2, so that the pickle data stream is readable with Python 2.dump($module, /, obj, file, protocol=None, *, fix_imports=True) -- 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 and 4. The default protocol is 3; a backward-incompatible protocol designed for Python 3. 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, an 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 names to the old module names used in Python 2, so that the pickle data stream is readable with Python 2.__reduce__($self, /) -- Implement pickling support.copy($self, /) -- Copy the memo to a new object.clear($self, /) -- Remove all items from memo.Unpickler(file, *, fix_imports=True, encoding='ASCII', errors='strict') -- This takes a binary file for reading a pickle data stream. The protocol version of the pickle is detected automatically, so no protocol argument is needed. Bytes past the pickled object's representation are ignored. The argument *file* must have two methods, a read() method that takes an integer argument, and a readline() method that requires no arguments. Both methods should return bytes. Thus *file* can be a binary file object opened for reading, an io.BytesIO object, or any other custom object that meets this interface. Optional keyword arguments are *fix_imports*, *encoding* and *errors*, which are used to control compatibility support for pickle stream generated by Python 2. If *fix_imports* is True, pickle will try to map the old Python 2 names to the new names used in Python 3. The *encoding* and *errors* tell pickle how to decode 8-bit string instances pickled by Python 2; these default to 'ASCII' and 'strict', respectively. The *encoding* can be 'bytes' to read these 8-bit string instances as bytes objects.__sizeof__($self, /) -- Returns size in memory, in bytes.find_class($self, module_name, global_name, /) -- Return an object from a specified module. If necessary, the module will be imported. Subclasses may override this method (e.g. to restrict unpickling of arbitrary classes and functions). This method is called whenever a class or a function object is needed. Both arguments passed are str objects.load($self, /) -- 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.__reduce__($self, /) -- Implement pickle support.copy($self, /) -- Copy the memo to a new object.clear($self, /) -- Remove all items from memo.Pickler(file, protocol=None, fix_imports=True) -- This takes a binary file for writing a pickle data stream. The optional *protocol* argument tells the pickler to use the given protocol; supported protocols are 0, 1, 2, 3 and 4. The default protocol is 3; a backward-incompatible protocol designed for Python 3. Specifying a negative protocol version selects the highest protocol version supported. The higher the protocol used, the more recent the version of Python needed to read the pickle produced. The *file* argument must have a write() method that accepts a single bytes argument. It can thus be a file object opened for binary writing, an io.BytesIO instance, or any other custom object that meets this interface. If *fix_imports* is True and protocol is less than 3, pickle will try to map the new Python 3 names to the old module names used in Python 2, so that the pickle data stream is readable with Python 2.__sizeof__($self, /) -- Returns size in memory, in bytes.dump($self, obj, /) -- Write a pickled representation of the given object to the open file.clear_memo($self, /) -- 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. 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