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r�d d\ ld md Zd n Xe d] � Ze e d^ � Zf d_ � Zg d` � Z da � Zh ei db k r�eh � n d S(c s� Create portable serialized representations of Python objects.
See module cPickle for a (much) faster implementation.
See module copy_reg for a mechanism for registering custom picklers.
See module pickletools source for extensive comments.
Classes:
Pickler
Unpickler
Functions:
dump(object, file)
dumps(object) -> string
load(file) -> object
loads(string) -> object
Misc variables:
__version__
format_version
compatible_formats
s $Revision: 72223 $i����( t *( t dispatch_table( t _extension_registryt _inverted_registryt _extension_cacheNt PickleErrort
PicklingErrort UnpicklingErrort Picklert Unpicklert dumpt dumpst loadt loadss 2.0s 1.0s 1.1s 1.2s 1.3i c B s e Z d Z RS( s6 A common base class for the other pickling exceptions.( t __name__t
__module__t __doc__( ( ( s+ /opt/alt/python27/lib64/python2.7/pickle.pyR : s c B s e Z d Z RS( s] This exception is raised when an unpicklable object is passed to the
dump() method.
( R R R ( ( ( s+ /opt/alt/python27/lib64/python2.7/pickle.pyR > s c B s e Z d Z RS( s This exception is raised when there is a problem unpickling an object,
such as a security violation.
Note that other exceptions may also be raised during unpickling, including
(but not necessarily limited to) AttributeError, EOFError, ImportError,
and IndexError.
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The optional protocol 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.
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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
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rA | g | t | � <n Xd S( sM Keeps a reference to the object x in the memo.
Because we remember objects by their id, we have
to assure that possibly temporary objects are kept
alive by referencing them.
We store a reference at the id of the memo, which should
normally not be used unless someone tries to deepcopy
the memo itself...
N( RS R� R� ( Rn RC ( ( s+ /opt/alt/python27/lib64/python2.7/pickle.pyR� s
c C s� t | d d � } | d k r" | S| t k r6 t | Sx] t j j � D]F \ } } | d k rd qF n | d k rF t | | d � | k rF PqF qF Wd } | t | <| S( s� Figure out the module in which a function occurs.
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The file-like object must have two methods, a read() method that
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object can be a file object opened for reading, a StringIO object,
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Return the reconstituted object hierarchy specified in the file.
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| d } t j | � } | d d d � S( s� Encode a long to a two's complement little-endian binary string.
Note that 0L is a special case, returning an empty string, to save a
byte in the LONG1 pickling context.
>>> encode_long(0L)
''
>>> encode_long(255L)
'\xff\x00'
>>> encode_long(32767L)
'\xff\x7f'
>>> encode_long(-256L)
'\x00\xff'
>>> encode_long(-32768L)
'\x00\x80'
>>> encode_long(-128L)
'\x80'
>>> encode_long(127L)
'\x7f'
>>>
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>>> decode_long('')
0L
>>> decode_long("\xff\x00")
255L
>>> decode_long("\xff\x7f")
32767L
>>> decode_long("\x00\xff")
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>>> decode_long("\x00\x80")
-32768L
>>> decode_long("\x80")
-128L
>>> decode_long("\x7f")
127L
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