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)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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