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load() -- Load a pickle noload inst_persistent_id binary fast clear_memo cPickle.Unpickler cPickle.Pickler cPickle.Pdata argument must have 'read' and 'readline' attributes unsupported pickle protocol: %d pickle protocol %d asked for; the highest available protocol is %d argument must have 'write' attribute odd number of items for SETITEMS attribute deletion is not supported Attempt to getvalue() a non-list-based pickler Unexpected data in internal list BINSTRING pickle has negative byte count could not convert string to int LONG pickle has negative byte count could not convert string to float BINUNICODE pickle has negative byte count A load persistent id instruction was encountered,
but no persistent_load function was specified. no int where int expected in memo memo id too large for LONG_BINGET fast mode: can't pickle cyclic objects including object type %s at %p Global and instance pickles are not supported. unregistered extension code %ld _inverted_registry[%ld] isn't a 2-tuple of strings NEWOBJ class argument isn't a type object NEWOBJ class argument has NULL tp_new slot state is not a dictionary memo id too large for LONG_BINPUT cannot serialize a string larger than 2 GiB cannot serialize a Unicode string larger than 2 GiB Can't pickle %s: import of module %s failed Can't pickle %s: attribute lookup %s.%s failed Can't pickle %s: it's not the same object as %s.%s Can't pickle %s: extension code %s isn't an integer Can't pickle %s: extension code %ld is out of range dictionary changed size during iteration Value returned by %s must be string or tuple 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 dict items iterator must return 2-tuples def __str__(self):
return self.args and ('%s' % self.args[0]) or '(what)'
def __str__(self):
a=self.args
a=a and type(a[0]) or '(what)'
return 'Cannot pickle %s objects' % a
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.
The optional proto argument tells the pickler to use the given
protocol; supported protocols are 0, 1, 2. The default
protocol is 0, to be backwards compatible. (Protocol 0 is the
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.
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 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 8((hϽ PjPPPPPPPPPPC ;\ j (x 80 88 X8 9 x:< :P l>y AN p
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