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Editing: _itertools.cpython-312.opt-1.pyc
� �֦i � �& � d dl mZ dd�Zeeffd�Zy)� )� filterfalseNc # �� K � t � }|j }|�(t |j | � D ] } ||� |�� � y| D ] } ||� }||vs� ||� |�� � y�w)zHList unique elements, preserving order. Remember all elements ever seen.N)�set�addr � __contains__)�iterable�key�seen�seen_add�element�ks �6/usr/lib64/python3.12/importlib/metadata/_itertools.py�unique_everseenr sj � �� � �5�D��x�x�H� �{�"�4�#4�#4�h�?�G� �W� ��M� @� �G��G� �A���}��� � � � �s �AA$�A$c � � | � t d� S |�t | |� r t | f� S t | � S # t $ r t | f� cY S w xY w)ax 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 sX � �R �{��B�x��� �:�c�9�#=��S�F�|�� ��C�y��� � ��S�F�|�� �s � 4 �A � A )N)� itertoolsr r �str�bytesr r � r �<module>r s �� !� �& %(��<� 2 r
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