+ Bi,^RIHtRRlt]]33RltR#)) filterfalseNc#"\4pVPpVf,\VPV4FpV!V4VxK R#VFpV!V4pWR9gKV!V4VxK! R#5i)zHList unique elements, preserving order. Remember all elements ever seen.N)setaddr __contains__)iterablekeyseenseen_addelementks&& 4/usr/lib/python3.14/importlib/metadata/_itertools.pyunique_everseenrsg 5DxxH {"4#4#4h?G W M@ GG A}   s AA/A/cVf \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'] )iter isinstance TypeError)obj base_types&&ralways_iterablersYR {Bx:c#=#=SF|Cy SF|s =AA)N) itertoolsrrstrbytesrrrrs!&%(<2r