_itertools.cpython-311.pyc

���uv=QC�������������������(����d�dl�mZ�ddZeeffdZdS�)����)filterfalseNc��������������#������K���t����������������������}|j��������}|)t����������|j��������|�����������D�]}�||�����������|V��dS�|�D�] }�||����������}||vr�||�����������|V��!dS�)zHList unique elements, preserving order. Remember all elements ever seen.N)setaddr���__contains__)iterablekeyseenseen_addelementks���      D/opt/alt/python311/lib64/python3.11/importlib/metadata/_itertools.pyunique_everseenr������s�������55DxH
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�	����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�{Bxx:c9#=#=SF||Cyy���SF||s���A�A! A!)N)	itertoolsr���r���strbytesr���r���r���r���<module>r������sR����!�!�!�!�!�!���&�%(<�2�2�2�2�2�2r���

docroot: /home/induvedam/public_html

curdir: /opt/alt/python311/lib64/python3.11/importlib/metadata/__pycache__

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