𝗖𝗨𝗥𝗥𝗘𝗡𝗧 𝗙𝗜𝗟𝗘 : /opt/alt/python311/lib64/python3.11/importlib/metadata/__pycache__//_itertools.cpython-311.pyc
�
�0�i � �( � d dl mZ dd�Zeeffd�ZdS )� )� filterfalseNc # �� K � t � � }|j }|�)t |j | � � D ]} ||� � |V � �dS | D ] } ||� � }||vr ||� � |V � �!dS )zHList unique elements, preserving order. Remember all elements ever seen.N)�set�addr � __contains__)�iterable�key�seen�seen_add�element�ks �D/opt/alt/python311/lib64/python3.11/importlib/metadata/_itertools.py�unique_everseenr s� � � � � �5�5�D��x�H�
�{�"�4�#4�h�?�?� � �G� �H�W� � � ��M�M�M�M� � � � � �G���G� � �A���}�}���� � � � �
�
�
�� � � c �� � | �t d� � S |� t | |� � rt | 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']
N� )�iter�
isinstance� TypeError)�obj� base_types r �always_iterabler sx � �R �{��B�x�x��� �:�c�9�#=�#=� ��S�F�|�|�� ��C�y�y��� � � � ��S�F�|�|���� ���s �A �A!� A!)N)� itertoolsr r �str�bytesr r r r �<module>r sR �� !� !� !� !� !� !� � � � �& %(��<� 2 � 2 � 2 � 2 � 2 � 2 r 