✏️ Editing: _itertools.cpython-39.pyc Read Only

�����x�c����������������������@���s*���d�dl�mZ�ddd�Zeeffdd�ZdS�)�����)�filterfalseNc�����������������c���sb���t���}|j}|du�r6t|j|��D�]}||��|V��q n(|�D�]"}||�}||vr:||��|V��q:dS�)zHList unique elements, preserving order. Remember all elements ever seen.N)�set�addr����__contains__)�iterable�key�seenZseen_add�element�k��r����A/usr/lib/python3.9/site-packages/importlib_metadata/_itertools.py�unique_everseen���s����
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t�|��W�S��tyR���t�|�f��Y�S�0�dS�)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']
    Nr���)�iter�
isinstance�	TypeError)�objZ	base_typer���r���r����always_iterable���s����)

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