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վHIH@ @ @ H@( H@0 HIG H=| 臺HISHx@LxLhH@ H@( H@0 H@8 1LIdž Idž Idž Idž Idž Idž Idž Idž Idž Idž Idž Idž Idž Idž Idž Idž L=u H|$I Ix Ll$I I L̸I I L许I I L萸I I xL蔻HI 腻I I 1H Ht H; Cu uBIdž D\$LE I.HuLIHXH[]A\A]A^A_HHI uBH{D$ H>HKL% HYHKH- HH[ HiHL}HL} 1HD$(HA Pj j舷H HHu/[I/uL{膶HI D AVH=W AUATUS\HIH=~ T H= @r H=q ,^ H= 裹HHA H5` Hh* H5 HQ H5s H: H] H= 11HH H= 1HHHC H3H= 1ӷHHC HH5 H4 HSH5 Hk HSH5 HP H'r H 賶HHC`H= 蚸HIH5 H?HHCvHPL%r L9H5` LHHC FHHL9pH5K LHHC0 HpL9(H55 L轳HHC(HxL9Im H= ̷HIH5 HqHHC8L@M96H5 LHHHC@LHM9H5 L HHCHLPM9H5 LHHCPLXM9mIm UH= HIH5u H課HHCXHշI,$H=E 趶HIH57 H[HHChtI] IHHI] O[L]A\A]A^ HH pickle data was truncated unexpected MARK found unpickling stack underflow could not find MARK persistent_load persistent_id NEWOBJ_EX NEWOBJ __main__ memo key must be integers nO strict EXT specifies code <= 0 bytes OO pickle.find_class <locals> Can't get attribute %R on %R pickle protocol must be <= %d surrogatepass %zd
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(O()) (O(OO)) utf-8 while pickling an object (O(O)) save_reduce __newobj__ arglist is empty O(O) Can't pickle local object %R unable to get sys.modules Ran out of input odd number of items for DICT STACK_GLOBAL requires str state is not a dictionary negative PUT argument invalid load key, '%c'. invalid load key, '\x%02x'. loads _pickle.PickleError _pickle.PicklingError _pickle.UnpicklingError copyreg dispatch_table _extension_registry _inverted_registry _extension_cache _compat_pickle REVERSE_NAME_MAPPING REVERSE_IMPORT_MAPPING codecs encode functools partial dump clear_memo __sizeof__ clear copy __reduce__ bin fast dumps file fix_imports encoding errors buffers protocol buffer_callback obj _pickle.Pickler _pickle.Unpickler _pickle.PicklerMemoProxy _pickle.UnpicklerMemoProxy _pickle.Pdata attribute deletion is not supported persistent_load must be a callable taking one argument persistent_id must be a callable taking one argument %s class argument must be a type, not %.200s %s class argument '%.200s' doesn't have __new__ %s args argument must be a tuple, not %.200s %s kwargs argument must be a dict, not %.200s A load persistent id instruction was encountered,
but no persistent_load function was specified. pickle stream refers to out-of-band data but no *buffers* argument was given not enough out-of-band buffers 'memo' values must be 2-item tuples 'memo' attribute must be a PicklerMemoProxy object or dict, not %.200s memo key must be positive integers. 'memo' attribute must be an UnpicklerMemoProxy object or dict, not %.200s fast mode: can't pickle cyclic objects including object type %.200s at %p read would overflow (invalid bytecode) unregistered extension code %ld _inverted_registry[%ld] isn't a 2-tuple of strings Memo value not found at index %ld BINSTRING exceeds system's maximum size of %zd bytes _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 Can't pickle local attribute %R on %R odd number of items for SETITEMS file must have a 'write' attribute buffer_callback needs protocol >= 5 BINUNICODE exceeds system's maximum size of %zd bytes memo id too large for LONG_BINPUT read() returned non-bytes object (%R) readinto() returned negative size serializing a bytes object larger than 4 GiB requires pickle protocol 4 or higher memo id too large for LONG_BINGET file must have 'read' and 'readline' attributes BINBYTES exceeds system's maximum size of %zd bytes persistent IDs in protocol 0 must be ASCII strings serializing a string larger than 4 GiB requires pickle protocol 4 or higher dictionary changed size during iteration set changed size during iteration PickleBuffer can only pickled with protocol >= 5 PickleBuffer can not be pickled when pointing to a non-contiguous buffer can't pickle '%.200s' object: %R __reduce__ must return a string or tuple Pickler.__init__() was not called by %s.__init__() dict items iterator must return 2-tuples tuple returned by __reduce__ must contain 2 through 6 elements first item of the tuple returned by __reduce__ must be callable second item of the tuple returned by __reduce__ must be a tuple fourth element of the tuple returned by __reduce__ must be an iterator, not %s fifth element of the tuple returned by __reduce__ must be an iterator, not %s sixth element of the tuple returned by __reduce__ must be a function, not %s length of the NEWOBJ_EX argument tuple must be exactly 3, not %zd first item from NEWOBJ_EX argument tuple must be a class, not %.200s second item from NEWOBJ_EX argument tuple must be a tuple, not %.200s third item from NEWOBJ_EX argument tuple must be a dict, not %.200s args[0] from __newobj__ args is not a type args[0] from __newobj__ args has the wrong class Can't pickle %R: import of module %R failed Can't pickle %R: attribute lookup %S on %S failed Can't pickle %R: it's not the same object as %S.%S Can't pickle %R: extension code %R isn't an integer Can'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 %.200s can't pickle module identifier '%S' using pickle protocol %i can't pickle global identifier '%S' using pickle protocol %i LONG pickle has negative byte count could not convert string to int could not convert string to float BYTEARRAY8 exceeds system's maximum size of %zd bytes the STRING opcode argument must be quoted slot state is not a dictionary unsupported pickle protocol: %d FRAME length exceeds system's maximum of %zd bytes Unpickler.__init__() was not called by %s.__init__() copyreg.dispatch_table should be a dict, not %.200s copyreg._extension_registry should be a dict, not %.200s copyreg._inverted_registry should be a dict, not %.200s copyreg._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 %.200s codecs.encode should be a callable, not %.200s Optimized 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($module, /, obj, protocol=None, *, fix_imports=True,
buffer_callback=None)
--
Return the pickled representation of the object as a bytes object.
The optional *protocol* argument tells the pickler to use the given
protocol; supported protocols are 0, 1, 2, 3, 4 and 5. The default
protocol is 4. It was introduced in Python 3.4, and is incompatible
with previous versions.
Specifying a negative protocol version selects the highest protocol
version supported. The higher the protocol used, the more recent the
version of Python needed to read the pickle produced.
If *fix_imports* is True and *protocol* is less than 3, pickle will
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Python 2, so that the pickle data stream is readable with Python 2.
If *buffer_callback* is None (the default), buffer views are serialized
into *file* as part of the pickle stream. It is an error if
*buffer_callback* is not None and *protocol* is None or smaller than 5. dump($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
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The optional *protocol* argument tells the pickler to use the given
protocol; supported protocols are 0, 1, 2, 3, 4 and 5. The default
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Specifying a negative protocol version selects the highest protocol
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If *fix_imports* is True and protocol is less than 3, pickle will try
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