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ZhG Ph] Fhx <h 2h (h h h h, L;AS%<h@ hP h` hv h h h h h   00Optimized C implementation for the Python pickle module.dump($module, /, obj, file, protocol=None, *, fix_imports=True, buffer_callback=None) -- Write a pickled representation of obj to the open file object file. This is equivalent to ``Pickler(file, protocol).dump(obj)``, but may be more efficient. The optional *protocol* argument tells the pickler to use the given protocol; supported protocols are 0, 1, 2, 3, 4 and 5. The default protocol is 4. It was introduced in Python 3.4, and is incompatible with previous versions. Specifying a negative protocol version selects the highest protocol version supported. The higher the protocol used, the more recent the version of Python needed to read the pickle produced. The *file* argument must have a write() method that accepts a single bytes argument. It can thus be a file object opened for binary writing, an io.BytesIO instance, or any other custom object that meets this interface. If *fix_imports* is True and protocol is less than 3, pickle will try to map the new Python 3 names to the old module names used in Python 2, so that the pickle data stream is readable with Python 2. If *buffer_callback* is None (the default), buffer views are serialized into *file* as part of the pickle stream. It is an error if *buffer_callback* is not None and *protocol* is None or smaller than 5.dumps($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.load($module, /, file, *, fix_imports=True, encoding='ASCII', errors='strict', buffers=()) -- Read and return an object from the pickle data stored in a file. This is equivalent to ``Unpickler(file).load()``, but may be more efficient. The protocol version of the pickle is detected automatically, so no protocol argument is needed. Bytes past the pickled object's representation are ignored. The argument *file* must have two methods, a read() method that takes an integer argument, and a readline() method that requires no arguments. Both methods should return bytes. Thus *file* can be a binary file object opened for reading, an io.BytesIO object, or any other custom object that meets this interface. Optional keyword arguments are *fix_imports*, *encoding* and *errors*, which are used to control compatibility support for pickle stream generated by Python 2. If *fix_imports* is True, pickle will try to map the old Python 2 names to the new names used in Python 3. The *encoding* and *errors* tell pickle how to decode 8-bit string instances pickled by Python 2; these default to 'ASCII' and 'strict', respectively. The *encoding* can be 'bytes' to read these 8-bit string instances as bytes objects.loads($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.clear($self, /) -- Remove all items from memo.copy($self, /) -- Copy the memo to a new object.__reduce__($self, /) -- Implement pickle support.clear($self, /) -- Remove all items from memo.copy($self, /) -- Copy the memo to a new object.__reduce__($self, /) -- Implement pickling support.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.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. This method is useful when re-using picklers.__sizeof__($self, /) -- Returns size in memory, in bytes.Unpickler(file, *, fix_imports=True, encoding='ASCII', errors='strict', buffers=()) -- This takes a binary file for reading a pickle data stream. The protocol version of the pickle is detected automatically, so no protocol argument is needed. Bytes past the pickled object's representation are ignored. The argument *file* must have two methods, a read() method that takes an integer argument, and a readline() method that requires no arguments. Both methods should return bytes. Thus *file* can be a binary file object opened for reading, an io.BytesIO object, or any other custom object that meets this interface. Optional keyword arguments are *fix_imports*, *encoding* and *errors*, which are used to control compatibility support for pickle stream generated by Python 2. If *fix_imports* is True, pickle will try to map the old Python 2 names to the new names used in Python 3. The *encoding* and *errors* tell pickle how to decode 8-bit string instances pickled by Python 2; these default to 'ASCII' and 'strict', respectively. The *encoding* can be 'bytes' to read these 8-bit string instances as bytes objects.load($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.find_class($self, module_name, global_name, /) -- Return an object from a specified module. If necessary, the module will be imported. Subclasses may override this method (e.g. to restrict unpickling of arbitrary classes and functions). This method is called whenever a class or a function object is needed. Both arguments passed are str objects.__sizeof__($self, /) -- Returns size in memory, in bytes._pickle.PickleError_pickle.PicklingError_pickle.UnpicklingErrorPickleErrorPicklingErrorUnpicklingError_pickledumpdumpsloadloadsobjfileprotocolfix_importsbuffer_callbackpickle protocol must be <= %dwritefile must have a 'write' attributebuffer_callback needs protocol >= 5reducer_override while pickling an object__reduce____reduce_ex__can't pickle '%.200s' object: %R__reduce__ must return a string or tuplepersistent IDs in protocol 0 must be ASCII strings%c%ld int too large to pickle%zd memo id too large for LONG_BINGET(O())strictlatin1(O(OO))serializing a bytes object larger than 4 GiB requires pickle protocol 4 or highermemo id too large for LONG_BINPUTutf-8surrogatepassserializing a string larger than 4 GiB requires pickle protocol 4 or higheritemsfast mode: can't pickle cyclic objects including object type %.200s at %pdictionary changed size during iterationdict items iterator must return 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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 %s__newobj_ex____newobj__length 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 %.200s__new____newobj__ arglist is emptyargs[0] from __newobj__ args is not a typeargs[0] from __newobj__ args has the wrong class__class__encodingerrorsbuffersASCIIargument 'encoding'strembedded null characterargument 'errors'peekreadreadintoreadlinefile must have 'read' and 'readline' attributesRan out of inputinvalid load key, '%c'.invalid load key, '\x%02x'.read would overflow (invalid bytecode)pickle data was truncatedcould not convert string to intLONG pickle has negative byte countcould not convert string to floatBINBYTES exceeds system's maximum size of %zd bytesread() returned non-bytes object (%R)readinto() returned negative sizeBYTEARRAY8 exceeds system's maximum size of %zd bytespickle stream refers to out-of-band data but no *buffers* argument was givennot enough out-of-band buffersunexpected MARK foundunpickling stack underflowBINSTRING exceeds system's maximum size of %zd bytesbytesthe STRING opcode argument must be quotedBINUNICODE exceeds system's maximum size of %zd bytescould not find MARKodd number of items for DICTadd__getinitargs__find_classNEWOBJ expected an arg tuple.NEWOBJ class argument isn't a type objectNEWOBJ class argument has NULL tp_newNEWOBJ_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 %.200sSTACK_GLOBAL requires strextendappend__setstate____dict__state is not a dictionaryslot state is not a dictionaryMemo value not found at index %ldnegative PUT argumentodd number of items for SETITEMSA load persistent id instruction was encountered, but no persistent_load function was specified.unsupported pickle protocol: %dFRAME length exceeds system's maximum of %zd bytesEXT specifies code <= 0unregistered extension code %ld_inverted_registry[%ld] isn't a 2-tuple of stringsn_pickle.Pdata_pickle.PicklerMemoProxyclearcopynO_pickle.UnpicklerMemoProxy_pickle.Picklerclear_memo__sizeof__Pickler.__init__() was not called by %s.__init__()binfastdispatch_tablememopersistent_idattribute deletion is not supported'memo' values must be 2-item tuples'memo' attribute must be a PicklerMemoProxy object or dict, not %.200spersistent_id must be a callable taking one argumentPickler_pickle.UnpicklerUnpickler.__init__() was not called by 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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. It is an error if *buffer_callback* is not None and *protocol* is None or smaller than 5.dumps($module, /, obj, protocol=None, *, fix_imports=True, buffer_callback=None) -- Return the pickled representation of the object as a bytes object. The optional *protocol* argument tells the pickler to use the given protocol; supported protocols are 0, 1, 2, 3, 4 and 5. The default protocol is 4. It was introduced in Python 3.4, and is incompatible with previous versions. Specifying a negative protocol version selects the highest protocol version supported. The higher the protocol used, the more recent the version of Python needed to read the pickle produced. If *fix_imports* is True and *protocol* is less than 3, pickle will try to map the new Python 3 names to the old module names used in Python 2, so that the pickle data stream is readable with Python 2. If *buffer_callback* is None (the default), buffer views are serialized into *file* as part of the pickle stream. It is an error if *buffer_callback* is not None and *protocol* is None or smaller than 5.load($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.loads($module, data, /, *, fix_imports=True, encoding='ASCII', errors='strict', buffers=()) -- Read and return an object from the given pickle data. The protocol version of the pickle is detected automatically, so no protocol argument is needed. Bytes past the pickled object's representation are ignored. Optional keyword arguments are *fix_imports*, *encoding* and *errors*, which are used to control compatibility support for pickle stream generated by Python 2. If *fix_imports* is True, pickle will try to map the old Python 2 names to the new names used in Python 3. The *encoding* and *errors* tell pickle how to decode 8-bit string instances pickled by Python 2; these default to 'ASCII' and 'strict', respectively. The *encoding* can be 'bytes' to read these 8-bit string instances as bytes objects.clear($self, /) -- Remove all items from memo.copy($self, /) -- Copy the memo to a new object.__reduce__($self, /) -- Implement pickle support.clear($self, /) -- Remove all items from memo.copy($self, /) -- Copy the memo to a new object.__reduce__($self, /) -- Implement pickling support.Pickler(file, protocol=None, fix_imports=True, buffer_callback=None) -- This takes a binary file for writing a pickle data stream. The optional *protocol* argument tells the pickler to use the given protocol; supported protocols are 0, 1, 2, 3, 4 and 5. The default protocol is 4. It was introduced in Python 3.4, and is incompatible with previous versions. Specifying a negative protocol version selects the highest protocol version supported. The higher the protocol used, the more recent the version of Python needed to read the pickle produced. The *file* argument must have a write() method that accepts a single bytes argument. It can thus be a file object opened for binary writing, an io.BytesIO instance, or any other custom object that meets this interface. If *fix_imports* is True and protocol is less than 3, pickle will try to map the new Python 3 names to the old module names used in Python 2, so that the pickle data stream is readable with Python 2. If *buffer_callback* is None (the default), buffer views are serialized into *file* as part of the pickle stream. If *buffer_callback* is not None, then it can be called any number of times with a buffer view. If the callback returns a false value (such as None), the given buffer is out-of-band; otherwise the buffer is serialized in-band, i.e. inside the pickle stream. It is an error if *buffer_callback* is not None and *protocol* is None or smaller than 5.dump($self, obj, /) -- Write a pickled representation of the given object to the open file.clear_memo($self, /) -- Clears the pickler's "memo". The memo is the data structure that remembers which objects the pickler has already seen, so that shared or recursive objects are pickled by reference and not by value. This method is useful when re-using picklers.__sizeof__($self, /) -- Returns size in memory, in bytes.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.load($self, /) -- Load a pickle. Read a pickled object representation from the open file object given in the constructor, and return the reconstituted object hierarchy specified therein.find_class($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.__sizeof__($self, /) -- Returns size in memory, in bytes._pickle.PickleError_pickle.PicklingError_pickle.UnpicklingErrorPickleErrorPicklingErrorUnpicklingError_pickledumpdumpsloadloadsobjfileprotocolfix_importsbuffer_callbackpickle protocol must be <= %dwritefile must have a 'write' attributebuffer_callback needs protocol >= 5reducer_override while pickling an object__reduce____reduce_ex__can't pickle '%.200s' object: %R__reduce__ must return a string or tuplepersistent IDs in protocol 0 must be ASCII strings%c%ld int too large to pickle%zd memo id too large for LONG_BINGET(O())strictlatin1(O(OO))serializing a bytes object larger than 4 GiB requires pickle protocol 4 or highermemo id too large for LONG_BINPUTutf-8surrogatepassserializing a string larger than 4 GiB requires pickle protocol 4 or higheritemsfast mode: can't pickle cyclic objects including object type %.200s at %pdictionary changed size during iterationdict items iterator must return 2-tuples(O(O))set changed size during iterationPickleBuffer can only pickled with protocol >= 5PickleBuffer can not be pickled when pointing to a non-contiguous bufferO(O)__name____qualname__Can'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.Can't pickle local object %RCan't pickle local attribute %R on %R__module__modules__main__unable to get sys.modules_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 %.200stuple returned by __reduce__ must contain 2 through 6 elementssave_reducefirst 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 %s__newobj_ex____newobj__length 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 %.200s__new____newobj__ arglist is emptyargs[0] from __newobj__ args is not a typeargs[0] from __newobj__ args has the wrong class__class__encodingerrorsbuffersASCIIargument 'encoding'strembedded null characterargument 'errors'peekreadreadintoreadlinefile must have 'read' and 'readline' attributesRan out of inputinvalid load key, '%c'.invalid load key, '\x%02x'.read would overflow (invalid bytecode)pickle data was truncatedcould not convert string to intLONG pickle has negative byte countcould not convert string to floatBINBYTES exceeds system's maximum size of %zd bytesread() returned non-bytes object (%R)readinto() returned negative sizeBYTEARRAY8 exceeds system's maximum size of %zd bytespickle stream refers to out-of-band data but no *buffers* argument was givennot enough out-of-band buffersunexpected MARK foundunpickling stack underflowBINSTRING exceeds system's maximum size of %zd bytesbytesthe STRING opcode argument must be quotedBINUNICODE exceeds system's maximum size of %zd bytescould not find MARKodd number of items for DICTadd__getinitargs__find_classNEWOBJ expected an arg tuple.NEWOBJ class argument isn't a type objectNEWOBJ class argument has NULL tp_newNEWOBJ_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 %.200sSTACK_GLOBAL requires strextendappend__setstate____dict__state is not a dictionaryslot state is not a dictionaryMemo value not found at index %ldnegative PUT argumentodd number of items for SETITEMSA load persistent id instruction was encountered, but no persistent_load function was specified.unsupported pickle protocol: %dFRAME length exceeds system's maximum of %zd bytesEXT specifies code <= 0unregistered extension code %ld_inverted_registry[%ld] isn't a 2-tuple of stringsn_pickle.Pdata_pickle.PicklerMemoProxyclearcopynO_pickle.UnpicklerMemoProxy_pickle.Picklerclear_memo__sizeof__Pickler.__init__() was not called by %s.__init__()binfastdispatch_tablememopersistent_idattribute deletion is not supported'memo' values must be 2-item tuples'memo' attribute must be a PicklerMemoProxy object or dict, not %.200spersistent_id must be a callable taking one argumentPickler_pickle.UnpicklerUnpickler.__init__() was not called by %s.__init__()pickle.find_classOO_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 %.200sCan't get attribute %R on %Rpersistent_loadmemo key must be integersmemo key must be positive integers.'memo' attribute must be an UnpicklerMemoProxy object or dict, not %.200spersistent_load must be a callable taking one argumentUnpicklergetattrcopyregcopyreg.dispatch_table should be a dict, not %.200s_extension_registrycopyreg._extension_registry should be a dict, not %.200s_inverted_registrycopyreg._inverted_registry should be a dict, not %.200s_extension_cachecopyreg._extension_cache should be a dict, not %.200s_compat_pickleNAME_MAPPING_compat_pickle.NAME_MAPPING should be a dict, not %.200sIMPORT_MAPPING_compat_pickle.IMPORT_MAPPING should be a dict, not %.200sREVERSE_NAME_MAPPING_compat_pickle.REVERSE_NAME_MAPPING should be a dict, not 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