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H�EH��P0H�=�[ H��tH�/H��[ uH�G�P0H�=�[ H��tH�/H�s[ uH�G�P0H�=[[ H��tH�/H�G[ uH�G�P0H�=/[ H��tH�/H�[ uH�G�P0H�=[ H��tH�/H��Z uH�G�P0H�=�Z H��t"H�/H��Z uH�G�P0f.�1�H��H��[]A\A]�H�mu
H�EH��P01��P���H�5�H����`��H��Z H���1���L�hM9�t!H��- I�UH�5�H�81��f������H�5\H���`��H�AZ H�����L�`M9�t"H��- I�T$H�5�H�81��e�����H�5'H���6`��H��Y H�������H�@L9�uOH�mu
H�EH��P01���b��H��Y H��������b��H��Y H�������H����e������H�PH��, H�5\H�81��"e���%�����H��H���persistent_idpersistent_loadnOfind_classmodulesASCIIstrictunpickling stack underflowcould not find MARKbad pickle data%zd
memo key must be integersO|Oss:UnpicklerRan out of inputEXT specifies code <= 0OOpickle protocol must be <= %d__name____module____main__pickle data was truncatedinsecure string picklesurrogatepassNEWOBJ expected an arg tuple.state is not a dictionarynegative PUT argumentinvalid load key, '%c'.O|Oss:loadsO|Oss:loadO|OO:Pickler while pickling an objectEllipsisNotImplemented%ldL
int too large to picklecodecsencode(O())(O(OO))latin1utf-8()__reduce____reduce_ex__O|OO:dumpsOO|OO:dumpsave_reduce__newobj____newobj__ arglist is empty__class__O(O)_pickle.PickleError_pickle.PicklingError_pickle.UnpicklingErrorcopyregdispatch_table_extension_registry_inverted_registry_extension_cache_compat_pickleREVERSE_NAME_MAPPINGREVERSE_IMPORT_MAPPINGfilefix_importsencodingerrorsprotocolwriteobjitemsI00
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readlinereadpeek__dict____setstate__append__new____getinitargs___pickle.UnpicklerMemoProxyclearcopybinfast_pickle.PicklerMemoProxyclear_memo_pickle.Unpickler_pickle.Pickler_pickle.Pdata_compat_pickle.NAME_MAPPING values should be 2-tuples, not %.200s_compat_pickle.NAME_MAPPING values should be pairs of str, not (%.200s, %.200s)_compat_pickle.IMPORT_MAPPING values should be strings, not %.200smemo id too large for LONG_BINGETattribute deletion is not supportedmemo key must be positive integers.'memo' attribute must be an UnpicklerMemoProxy objector dict, not %.200s'memo' values must be 2-item tuples'memo' attribute must be an PicklerMemoProxy objector dict, not %.200sfile must have 'read' and 'readline' attributes%s takes exactly one positional argument (%zd given)file must have a 'write' attributeodd number of items for SETITEMSLONG pickle has negative byte countunregistered extension code %ld_inverted_registry[%ld] isn't a 2-tuple of stringsfast mode: can't pickle cyclic objects including object type %.200s at %ppersistent_id must be a callable taking one argumentmemo id too large for LONG_BINPUTCan't pickle %R: import of module %R failedCan't pickle %R: attribute lookup %S.%S failedCan't pickle %R: it's not the same object as %S.%SCan't pickle %R: extension code %R isn't an integerCan'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 %.200scan't pickle module identifier '%S' using pickle protocol %ican't pickle global identifier '%S' using pickle protocol %icould not convert string to intcould not convert string to floatBINSTRING pickle has negative byte countNEWOBJ class argument isn't a type objectNEWOBJ class argument has NULL tp_newslot state is not a dictionaryA load persistent id instruction was encountered,
but no persistent_load function was specified.unsupported pickle protocol: %dpickle.loads() takes exactly one positional argument (%zd given)pickle.load() takes exactly one positional argument (%zd given)Unpickler.__init__() was not called by %s.__init__()persistent_load must be a callable taking one argument/builddir/build/BUILD/Python-3.3.7/Modules/_pickle.ccannot serialize a bytes object larger than 4 GiBcannot serialize a string larger than 4 GiBdictionary changed size during iterationcan't pickle '%.200s' object: %R__reduce__ must return a string or tuplepickle.dumps() takes at most 2 positional argument (%zd given)pickle.dump() takes at most 3 positional argument (%zd given)Pickler.__init__() was not called by %s.__init__()dict items iterator must return 2-tuplestuple returned by __reduce__ must contain 2 through 5 elementsfirst item of the tuple returned by __reduce__ must be callablesecond item of the tuple returned by __reduce__ must be a tuplefourth element of the tuple returned by __reduce__ must be an iterator, not %sfifth element of the tuple returned by __reduce__ must be an iterator, not %sargs[0] from __newobj__ args is not a typeargs[0] from __newobj__ args has the wrong class_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�;�Y0E���@L��T��0 T��D`T��\�T��p�T��� U����U����U���V��`V��$�W��HX��x@X����X����X���0Y����Y��`Z��<�Z��h�[���0\����\���]��X�^���a���@a����a����a��$b��LPb��t�b���@d����d��`e��H�e���`f����f����f���Pg��,	�h���	�j���	@k���	�l��,
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H/h�	���o���o���o�o����o� 	!:: :0:@:P:`:p:�:�:�:�:�:�:�:�:;; ;0;@;P;`;p;�;�;�;�;�;�;�;�;<< <0<@<P<`<p<�<�<�<�<�<�<�<�<== =0=@=P=`=p=�=�=�=�=�=�=�=�=>> >0>@>P>`>p>�>�>�>�>�>�>�>�>?? ?0?@?P?`?p?�?�?�?�?�?�?�?�?@@ @0@@@P@`@p@�@�@�@�@�@�@�@�@loads(input, *, fix_imports=True, encoding='ASCII', errors='strict') -> object

Read a pickled object hierarchy from a bytes object and return the
reconstituted object hierarchy specified therein

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 compatiblity support for pickle stream generated
by Python 2.x.  If fix_imports is True, pickle will try to map the old
Python 2.x names to the new names used in Python 3.x.  The encoding and
errors tell pickle how to decode 8-bit string instances pickled by Python
2.x; these default to 'ASCII' and 'strict', respectively.
load(file, *, fix_imports=True, encoding='ASCII', errors='strict') -> object

Read a pickled object representation from the open file object file and
return the reconstituted object hierarchy specified therein.  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, a 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 compatiblity support for pickle stream generated
by Python 2.x.  If fix_imports is True, pickle will try to map the old
Python 2.x names to the new names used in Python 3.x.  The encoding and
errors tell pickle how to decode 8-bit string instances pickled by Python
2.x; these default to 'ASCII' and 'strict', respectively.
dumps(obj, protocol=None, *, fix_imports=True) -> bytes

Return the pickled representation of the object as a bytes
object, instead of writing it to a file.

The optional protocol argument tells the pickler to use the given protocol;
supported protocols are 0, 1, 2, 3.  The default protocol is 3; a
backward-incompatible protocol designed for Python 3.0.

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.x names to the old module names used in Python 2.x,
so that the pickle data stream is readable with Python 2.x.
dump(obj, file, protocol=None, *, fix_imports=True) -> 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.  The default protocol is 3; a
backward-incompatible protocol designed for Python 3.0.

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, a
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.x names to the old module names used in Python 2.x,
so that the pickle data stream is readable with Python 2.x.
memo.__reduce__(). Pickling support.memo.copy() -> new_memo.  Copy the memo to a new object.memo.clear() -> None.  Remove all items from memo.Unpickler(file, *, encoding='ASCII', errors='strict')
This takes a binary file for reading a pickle data stream.

The protocol version of the pickle is detected automatically, so no
proto argument is needed.

The file-like object 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-like object can be a binary file object opened for
reading, a 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 compatiblity support for pickle stream
generated by Python 2.x.  If *fix_imports* is True, pickle will try to
map the old Python 2.x names to the new names used in Python 3.x.  The
*encoding* and *errors* tell pickle how to decode 8-bit string
instances pickled by Python 2.x; these default to 'ASCII' and
'strict', respectively.
find_class(module_name, global_name) -> object.

Return an object from a specified module, importing the module if
necessary.  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() -> object. 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.
memo.__reduce__(). Pickling support.memo.copy() -> new_memo.  Copy the memo to a new object.memo.clear() -> None.  Remove all items from memo.Pickler(file, protocol=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.  The default
protocol is 3; a backward-incompatible protocol designed for
Python 3.0.

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, a 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.x names to the old module names used in Python
2.x, so that the pickle data stream is readable with Python 2.x.
dump(obj) -> None. Write a pickled representation of obj to the open file.clear_memo() -> None. 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
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