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H|$xHL4$ZA|$ IL$I$1HL"H5R H=y3 1= 5 memo id too large for LONG_BINPUT serializing a bytes object larger than 4 GiB requires pickle protocol 4 or higher memo id too large for LONG_BINGET could not convert string to int could not convert string to float BYTEARRAY8 exceeds system's maximum size of %zd bytes pickle stream refers to out-of-band data but no *buffers* argument was given not enough out-of-band buffers the STRING opcode argument must be quoted NEWOBJ class argument isn't a type object NEWOBJ class argument has NULL tp_new Memo value not found at index %ld persistent IDs in protocol 0 must be ASCII strings A load persistent id instruction was encountered,
but no persistent_load function was specified. unsupported pickle protocol: %d FRAME length exceeds system's maximum of %zd bytes Unpickler.__init__() was not called by %s.__init__() serializing a string larger than 4 GiB requires pickle protocol 4 or higher 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 dictionary changed size during iteration 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 Pickler.__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 persistent_load persistent_id __main__ pickle data was truncated unexpected MARK found unpickling stack underflow could not find MARK memo key must be integers ASCII strict nO OO pickle.find_class Can't get attribute %R on %R argument 'encoding' embedded null character argument 'errors' state is not a dictionary EXT specifies code <= 0 bytes surrogatepass pickle protocol must be <= %d %zd
Ran out of input odd number of items for DICT NEWOBJ expected an arg tuple. negative PUT argument invalid load key, '%c'. invalid load key, '\x%02x'. STACK_GLOBAL requires str loads I01
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while pickling an object %c%ld
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(O()) (O(OO)) utf-8 (O(O)) save_reduce __newobj__ arglist is empty O(O) Can't pickle local object %R unable to get sys.modules _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 latin1 __name__ __qualname__ __new__ __newobj__ __newobj_ex__ items reducer_override __reduce_ex__ add readline read readinto peek write __dict__ __setstate__ append extend getattr __module__ __getinitargs__ _pickle.Pickler _pickle.Unpickler _pickle.PicklerMemoProxy _pickle.UnpicklerMemoProxy _pickle.Pdata __class__ )8888 8-05888888888888888,'88;.+8= V%6+Z 8U/. 4&22* 8P8888& 888 (#b,X 8& 548'88 0ro&/,8888888Y((.g/0& 0*//(+ f1D11011s u $+2V2 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
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
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Specifying a negative protocol version selects the highest protocol
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The *file* argument must have a write() method that accepts a single
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this interface.
If *fix_imports* is True and protocol is less than 3, pickle will try
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2, so that the pickle data stream is readable with Python 2.
If *buffer_callback* is None (the default), buffer views are serialized
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