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but no persistent_load function was specified. NEWOBJ class argument isn't a type object NEWOBJ class argument has NULL tp_new slot state is not a dictionary the cPickle module has been removed in Python 3.0 def __str__(self):
return self.args and ('%s' % self.args[0]) or '(what)'
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Value returned by %s must be string or tuple self->proto >= 0 && self->proto < 256 dict items iterator must return 2-tuples tuple returned by %s must contain 2 through 5 elements Second element of tuple returned by %s must be a tuple Fourth element of tuple returned by %s must be an iterator, not %s Fifth element of tuple returned by %s must be an iterator, not %s args[0] from __newobj__ args has no __new__ args[0] from __newobj__ args has the wrong class dump(obj, file, protocol=0) -- Write an object in pickle format to the given file.
See the Pickler docstring for the meaning of optional argument proto. dumps(obj, protocol=0) -- Return a string containing an object in pickle format.
See the Pickler docstring for the meaning of optional argument proto. load(file) -- Load a pickle from the given file loads(string) -- Load a pickle from the given string Pickler(file, protocol=0) -- Create a pickler.
This takes a file-like object for writing a pickle data stream.
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protocol; supported protocols are 0, 1, 2. The default
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only protocol that can be written to a file opened in text
mode and read back successfully. When using a protocol higher
than 0, make sure the file is opened in binary mode, both when
pickling and unpickling.)
Protocol 1 is more efficient than protocol 0; protocol 2 is
more efficient than protocol 1.
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produced.
The file parameter must have a write() method that accepts a single
string argument. It can thus be an open file object, a StringIO
object, or any other custom object that meets this interface.
Unpickler(file) -- Create an unpickler. noload() -- not load a pickle, but go through most of the motions
This function can be used to read past a pickle without instantiating
any objects or importing any modules. It can also be used to find all
persistent references without instantiating any objects or importing
any modules.
dump(object) -- Write an object in pickle format to the object's pickle stream clear_memo() -- Clear the picklers memo getvalue() -- Finish picking a list-based pickle memo must be a dictionary unpickling stack underflow pickle data was truncated could not find MARK bad pickle data |i:getvalue Invalid get data ./Modules/cPickle.c %.17g %ld
%d
__module__ modules OS OSS OO Ol persistent_load find_global I/O operation on closed file O|i:Pickler size == 1 || size == 4 insecure string pickle EXT specifies code <= 0 NEWOBJ expected an arg tuple. state is not a dictionary invalid load key, '%s'. S:loads __class__ __getinitargs__ __dict__ __getstate__ __setstate__ __name__ __main__ __reduce__ __reduce_ex__ write append read readline copyreg dispatch_table copy_reg _extension_registry _inverted_registry _extension_cache __builtin__ __builtins__ cPickle.PickleError cPickle.PicklingError cPickle.UnpickleableError cPickle.UnpicklingError cPickle.BadPickleGet cStringIO_CAPI cStringIO cPickle 1.71 __version__ HIGHEST_PROTOCOL 2.0 1.3 1.2 1.1 1.0 [sssss] format_version compatible_formats while pickling an object long too large to pickle () iteritems class has no name O|i:dump O|i:dumps OO|i PyTuple_Size(t) == len iter != ((void *)0) persistent id must be string save_reduce Os __newobj__ __newobj__ arglist is empty __new__ cPickle.Pickler cPickle.Unpickler cPickle.Pdata I00
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