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Current File : /Python314/Lib/importlib/metadata/__pycache__/_itertools.cpython-314.pyc
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8��i]��,�^RIHtRRlt]]33RltR#)�)�filterfalseNc#��"�\4pVPpVf,\VPV4FpV!V4Vx�K	R#VFpV!V4pWR9gKV!V4Vx�K!	R#5i)zHList unique elements, preserving order. Remember all elements ever seen.N)�set�addr�__contains__)�iterable�key�seen�seen_add�element�ks&&    �1C:\Python314\Lib\importlib\metadata\_itertools.py�unique_everseenrsg����5�D��x�x�H�
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�	 �s�AA/�A/c��Vf\R4#Ve\W4'd
\V34#\V4# \d\T34u#i;i)aIf *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']
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=�A�A)N)�	itertoolsrr�str�bytesrr�r�<module>rs��!��&%(��<�2r

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