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H([]A\A]ûAUATUSHIHIHL9u8L9}lHEt@HtHteL2x[HH Q H5 H=*H P H5 H=*nH[]A\A]øAUATUSHHID$(D$tD$ 0D$ 1D$)H HHuJ{Xt,D$)Ht$HHx!H[]A\A]D$(D$t͸H {XHt$HHHLH|H{LH{\AI9Ht$ H2HGIHLH"H{L%HtOAI9}!Ht$ HHILH x Ht,HHy_Ht$ HzHLHx xHt$H4*  ATUSH=zHHt#HnHHHHHHH[]A\H=nxH=s^xH=cNxH=>xH=.xH=HHHިHHHHHHHH5(HDJHHHHH$HHHH5(H H\HHHHcHHHH5&HHIĺH=&HI$HH=&pID$HI4$H=&MID$HI$H HHHHHHI$H5B&H#IT$H qHHHHHHIT$H5&HIT$H 5HHHHHHIT$H5%HL~HHHHH{HsHH/builddir/build/BUILD/Python-3.8.16/Modules/_pickle.c(new_size & (new_size - 1)) == 0file must have a 'write' attributebuffer_callback needs protocol >= 5((PyUnicodeObject*)(obj))->data.anyPyBytes_Check(self->output_buffer)boolean == Py_True || boolean == Py_Falsepickle stream refers to out-of-band data but no *buffers* argument was givennot enough out-of-band buffersmemo id too large for LONG_BINPUTmemo id too large for LONG_BINGET/builddir/build/BUILD/Python-3.8.16/Include/object.hattribute deletion is not supported'memo' values must be 2-item tuples'memo' attribute must be a PicklerMemoProxy object or dict, not %.200sodd number of items for SETITEMSA load persistent id instruction was encountered, but no persistent_load function was specified.persistent_load must be a callable taking one argumentpersistent_id must be a callable taking one argumentmemo key must be positive integers.'memo' attribute must be an UnpicklerMemoProxy object or dict, not %.200sCan't pickle local attribute %R on %Rserializing a bytes object larger than 4 GiB requires pickle protocol 4 or higherPickleBuffer can only pickled with protocol >= 5PickleBuffer can not be pickled when pointing to a non-contiguous buffer_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 %.200s/builddir/build/BUILD/Python-3.8.16/Modules/clinic/_pickle.c.h_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 %.200scopyreg.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 %.200sPyTuple_Check(constructor_args)NEWOBJ class argument isn't a type objectNEWOBJ class argument has NULL tp_new/builddir/build/BUILD/Python-3.8.16/Include/cpython/abstract.hcould not convert string to intcould not convert string to floatthe STRING opcode argument must be quotedpersistent IDs in protocol 0 must be ASCII stringsread would overflow (invalid bytecode)self->next_read_idx + n > self->input_lenBINUNICODE exceeds system's maximum size of %zd bytesunsupported pickle protocol: %dFRAME length exceeds system's maximum of %zd bytesLONG pickle has negative byte countBINSTRING exceeds system's maximum size of %zd bytesfast mode: can't pickle cyclic objects including object type %.200s at %pserializing a string larger than 4 GiB requires pickle protocol 4 or higherfile must have 'read' and 'readline' attributesNEWOBJ_EX class argument must be a type, not %.200sNEWOBJ_EX class argument doesn't have __new__NEWOBJ_EX args argument must be a tuple, not %.200sNEWOBJ_EX kwargs argument must be a dict, not %.200sslot state is not a dictionaryread() returned non-bytes object (%R)readinto() returned negative sizeBINBYTES exceeds system's maximum size of %zd bytesBYTEARRAY8 exceeds system's maximum size of %zd bytesnbytes == 1 || nbytes == 2 || nbytes == 4unregistered extension code %ld_inverted_registry[%ld] isn't a 2-tuple of stringsUnpickler.__init__() was not called by %s.__init__()tuple returned by __reduce__ must contain 2 through 6 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 %ssixth element of the tuple returned by __reduce__ must be a function, 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 '%.200s' object: %R__reduce__ must return a string or tupleCan'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 rangecan't pickle module identifier '%S' using pickle protocol %ican't pickle global identifier '%S' using pickle protocol %i((PyUnicodeObject*)(pid_str))->data.anyself->proto >= 0 && self->proto < 256Pickler.__init__() was not called by %s.__init__()obj != NULL && PyDict_CheckExact(obj)dictionary changed size during iterationdict items iterator must return 2-tuplesset changed size during iterationmin_size > 0key != NULLpickle protocol must be <= %dfile != NULLpersistent_idpersistent_loadPyUnicode_Check(obj)PyUnicode_IS_READY(obj)s != NULLI01 I00 self->output_buffer != NULLASCIIstrictnew_size > self->memo_sizepickle data was truncatedunexpected MARK foundunpickling stack underflowPyTuple_Check(tuple)could not find MARK%zd PyTuple_Check(value)clearto >= self->fenceself->peekself->write != NULLidx < self->memo_sizememo key must be integersPyList_Check(dotted_path)n >= 1Can't pickle local object %Rself->proto >= 3self->proto >= 5PyTuple_Check(args)%c%ld !PyErr_Occurred()int too large to picklePyBytes_Check(repr)L nOPyList_CheckExact(names)PyList_Check(names)Can't get attribute %R on %ROOpickle.find_classPyDict_Check(kwargs)STACK_GLOBAL requires strcopyregdispatch_table_extension_registry_inverted_registry_extension_cache_compat_pickleREVERSE_NAME_MAPPINGREVERSE_IMPORT_MAPPINGcodecsencodefunctoolspartial__main__PyTuple_Check(reduce_value)PyTuple_Check(dict_args)NEWOBJ expected an arg tuple.PyList_Check(list)module_name == NULLunable to get sys.modulesself->read != NULLPyCallable_Check(callable)offset > 0negative PUT argumentlen >= 0bytessurrogatepasssize == 1 || size == 4negative LONG_BINPUT argumentodd number of items for DICTutf-8PyBytes_Check(encoded)size >= 0argument 'encoding'embedded null characterargument 'errors'state is not a dictionaryn != READ_WHOLE_LINEPyBytes_Check(bytes)PyByteArray_Check(bytearray)EXT specifies code <= 0PyTuple_Check(pair)Ran out of inputinvalid load key, '%c'.invalid load key, '\x%02x'.PyTuple_Check(kwnames)loadssave_reducePyTuple_Check(argtup)PyTuple_Check(newargs)__newobj__ arglist is emptyPyBytes_Check(obj)(O())(O(OO))PyByteArray_Check(obj)(O(O))O(O) while pickling an objectPyUnicode_Check(pid_str)PyUnicode_IS_READY(pid_str)self->proto > 0PyDict_Check(obj)iter != NULLPyTuple_Check(obj)PyTuple_Check(firstitem)obj != NULLPyList_CheckExact(obj)PyList_Check(obj)PyAnySet_Check(obj)PyTuple_Size(t) == lenPyTuple_Check(t)PickleBuffer_pickle.PickleError_pickle.PicklingError_pickle.UnpicklingErrordumpclear_memo__sizeof__clearcopy__reduce__binfastdumpsfileprotocolfix_importsbuffer_callbackencodingerrorsbuffersobjgetattr__dict____setstate__addappendextendlatin1__new____newobj____newobj_ex____name__itemsreducer_override__reduce_ex____qualname____getinitargs___pickle.Unpickler_pickle.Pdata__module___pickle.Pickler_pickle.UnpicklerMemoProxy_pickle.PicklerMemoProxyreadlinereadreadintowrite__class__'}{~~~~x~}}|~~~~~~~~~~~~~~~yy~~yy~Iyy'yZy8yx~}}~ztzZzz~z~~~~{~~~||j|{|~}|+||~{~~|f}<}Q}}n{}~~~~~~~{|z|})}yyyC}_}x1x`yyxzzzz'{#||xxxOptimized C implementation for the Python pickle module.Pickler(file, protocol=None, fix_imports=True, buffer_callback=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, 4 and 5. The default protocol is 4. It was introduced in Python 3.4, and is incompatible with previous versions. 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. If *buffer_callback* is None (the default), buffer views are serialized into *file* as part of the pickle stream. If *buffer_callback* is not None, then it can be called any number of times with a buffer view. If the callback returns a false value (such as None), the given buffer is out-of-band; otherwise the buffer is serialized in-band, i.e. inside the pickle stream. It is an error if *buffer_callback* is not None and *protocol* is None or smaller than 5.Unpickler(file, *, fix_imports=True, encoding='ASCII', errors='strict', buffers=()) -- 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__($self, /) -- Returns size in memory, in bytes.clear_memo($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. This method is useful when re-using picklers.dump($self, obj, /) -- Write a pickled representation of the given object to the open file.__reduce__($self, /) -- Implement pickle support.copy($self, /) -- Copy the memo to a new object.clear($self, /) -- Remove all items from memo.__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 pickling support.copy($self, /) -- Copy the memo to a new object.clear($self, /) -- Remove all items from memo.loads($module, /, data, *, fix_imports=True, encoding='ASCII', errors='strict', buffers=()) -- Read and return an object from the given pickle data. The protocol version of the pickle is detected automatically, so no protocol argument is needed. Bytes past the pickled object's representation are ignored. Optional keyword arguments are *fix_imports*, *encoding* and *errors*, which are used to control compatibility support for pickle stream generated by Python 2. If *fix_imports* is True, pickle will try to map the old Python 2 names to the new names used in Python 3. The *encoding* and *errors* tell pickle how to decode 8-bit string instances pickled by Python 2; these default to 'ASCII' and 'strict', respectively. The *encoding* can be 'bytes' to read these 8-bit string instances as bytes objects.load($module, /, file, *, fix_imports=True, encoding='ASCII', errors='strict', buffers=()) -- 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($module, /, obj, protocol=None, *, fix_imports=True, buffer_callback=None) -- Return the pickled representation of the object as a bytes object. The optional *protocol* argument tells the pickler to use the given protocol; supported protocols are 0, 1, 2, 3, 4 and 5. The default protocol is 4. It was introduced in Python 3.4, and is incompatible with previous versions. Specifying a negative protocol version selects the highest protocol version supported. The higher the protocol used, the more recent the version of Python needed to read the pickle produced. If *fix_imports* is True and *protocol* is less than 3, pickle will try to map the new Python 3 names to the old module names used in Python 2, so that the pickle data stream is readable with Python 2. If *buffer_callback* is None (the default), buffer views are serialized into *file* as part of the pickle stream. It is an error if *buffer_callback* is not None and *protocol* is None or smaller than 5.dump($module, /, obj, file, protocol=None, *, fix_imports=True, buffer_callback=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, 4 and 5. The default protocol is 4. It was introduced in Python 3.4, and is incompatible with previous versions. 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. If *buffer_callback* is None (the default), buffer views are serialized into *file* as part of the pickle stream. 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