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Editing: _itertools.cpython-313.pyc
� ;��i � �* � S SK Jr SS jr\\44S jrg)� )� filterfalseNc # �� # � [ 5 nUR nUc* [ UR U 5 H nU" U5 Uv � M gU H nU" U5 nXR; d M U" U5 Uv � M g7f)zHList unique elements, preserving order. Remember all elements ever seen.N)�set�addr � __contains__)�iterable�key�seen�seen_add�element�ks �D/opt/alt/python313/lib64/python3.13/importlib/metadata/_itertools.py�unique_everseenr sg � � � �5�D��x�x�H� �{�"�4�#4�#4�h�?�G� �W� ��M� @� �G��G� �A��}��� � � � �s �AA+�A+c � � U c [ S5 $ Ub [ X5 ( a [ U 45 $ [ U 5 $ ! [ a [ U 45 s $ f = f)a If *obj* is iterable, return an iterator over its items:: >>> obj = (1, 2, 3) >>> list(always_iterable(obj)) [1, 2, 3] If *obj* is not iterable, return a one-item iterable containing *obj*:: >>> obj = 1 >>> list(always_iterable(obj)) [1] If *obj* is ``None``, return an empty iterable: >>> obj = None >>> list(always_iterable(None)) [] By default, binary and text strings are not considered iterable:: >>> obj = 'foo' >>> list(always_iterable(obj)) ['foo'] If *base_type* is set, objects for which ``isinstance(obj, base_type)`` returns ``True`` won't be considered iterable. >>> obj = {'a': 1} >>> list(always_iterable(obj)) # Iterate over the dict's keys ['a'] >>> list(always_iterable(obj, base_type=dict)) # Treat dicts as a unit [{'a': 1}] Set *base_type* to ``None`` to avoid any special handling and treat objects Python considers iterable as iterable: >>> obj = 'foo' >>> list(always_iterable(obj, base_type=None)) ['f', 'o', 'o'] � )�iter� isinstance� TypeError)�obj� base_types r �always_iterabler sY � �R �{��B�x��� �:�c�#=�#=��S�F�|�� ��C�y��� � ��S�F�|�� �s � : �A�A)N)� itertoolsr r �str�bytesr r � r �<module>r s �� !� �& %(��<� 2 r
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