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python2.7
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pickle.pyc
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� �mec @s�dZdZddlTddlmZddlmZmZmZddlZddl Z ddl Z ddlZddd d ddd ddg ZdZ dddddgZdZejZdefd��YZdefd��YZd efd��YZdefd��YZyddlmZWnek rBeZnXyeWnek rdeZnXdZdZdZdZ d Z!d!Z"d"Z#d#Z$d$Z%d%Z&d&Z'd'Z(d(Z)d)Z*d*Z+d+Z,d,Z-d-Z.d.Z/d/Z0d0Z1d1Z2d2Z3d3Z4d4Z5d5Z6d6Z7d7Z8d8Z9d9Z:d:Z;d;Z<d<Z=d=Z>d>Z?d?Z@d@ZAdAZBdBZCdCZDdDZEdEZFdFZGdGZHdHZIdIZJdJZKdKZLdLZMdMZNdNZOdOZPdPZQdQZRdRZSeCeMeNeOgZTejUgeV�D]ZWejXdSeW�r�eW^q��[Wd fdT��YZYdU�ZZiZ[dV�Z\dfdW��YZ]dXfdY��YZ^ddl_Z`dZ�Zad[�Zbydd\lcmdZdWn!ek r�dd\ldmdZdnXed]�Zeed^�Zfd_�Zgd`�Zda�Zheidbkr�eh�ndS(cs�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 $i����(t*(tdispatch_table(t_extension_registryt_inverted_registryt_extension_cacheNtPickleErrort PicklingErrortUnpicklingErrortPicklert Unpicklertdumptdumpstloadtloadss2.0s1.0s1.1s1.2s1.3icBseZdZRS(s6A common base class for the other pickling exceptions.(t__name__t __module__t__doc__(((s/usr/lib64/python2.7/pickle.pyR:scBseZdZRS(s]This exception is raised when an unpicklable object is passed to the dump() method. (RRR(((s/usr/lib64/python2.7/pickle.pyR>scBseZdZRS(sThis exception is raised when there is a problem unpickling an object, such as a security violation. Note that other exceptions may also be raised during unpickling, including (but not necessarily limited to) AttributeError, EOFError, ImportError, and IndexError. (RRR(((s/usr/lib64/python2.7/pickle.pyREst_StopcBseZd�ZRS(cCs ||_dS(N(tvalue(tselfR((s/usr/lib64/python2.7/pickle.pyt__init__Ss(RRR(((s/usr/lib64/python2.7/pickle.pyRRs(tPyStringMapt(t.t0t1t2tFtItJtKtLtMtNtPtQtRtStTtUtVtXtatbtctdt}tetgthtitjtlt]totptqtrtsttt)tutGsI01 sI00 s�s�s�s�s�s�s�s�s�s�s�s�s[A-Z][A-Z0-9_]+$cBseZdd�Zd�Zd�Zd�Zejd�Z ejd�Z d�Zd�Zd�Z ddddd �ZiZd �Zeee<d�Zeee<ejd�Zeee<ejd �Zeee<ejd�Zeee<ejd�Zeee<ejd�Zeee<eekrLejd�Zeee<nd�Zeee<d�Z d�Z!e!ee"<dZ#d�Z$d�Z%e%ee&<e'dk r�e%ee'<nd�Z(d�Z)e)ee*<dejd�Z+e+ee,<e+ee-<e+ee.<e+ee/<RS(cCs�|dkrd}n|dkr*t}n/d|koAtknsYtdt��n|j|_i|_t|�|_|dk|_d|_dS(s8This takes a file-like object for writing a pickle data stream. 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. ispickle protocol must be <= %diN( tNonetHIGHEST_PROTOCOLt ValueErrortwritetmemotinttprototbintfast(Rtfiletprotocol((s/usr/lib64/python2.7/pickle.pyR�s cCs|jj�dS(sClears 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. 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