Ë EËÉ ÐèØãó&—ddlmZdd„Zeeffd„Zy)é)Ú filterfalseNc#óÌK—t«}|j}|€(t|j|«D]}||«|–—Œy|D]}||«}||vsŒ||«|–—Œy­w)zHList unique elements, preserving order. Remember all elements ever seen.N)ÚsetÚaddrÚ __contains__)ÚiterableÚkeyÚseenÚseen_addÚelementÚks ú4/usr/lib/python3.12/importlib/metadata/_itertools.pyÚunique_everseenrsjèø€ô ‹5€DØ�x‰x€HØ €{Ü" 4×#4Ñ#4°hÖ?ˆGÙ �WÔ Ø‹Mñ@ó ˆGÙ�G“ ˆAؘŠ}Ù˜” Ø“ ñ  ùs ‚AA$ÁA$cóž—|€ td«S|�t||«r t|f«S t|«S#t$rt|f«cYSwxYw)axIf *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'] ©)ÚiterÚ isinstanceÚ TypeError)ÚobjÚ base_types rÚalways_iterablersX€ðR €{Ü�B‹xˆàФ:¨c°9Ô#=Ü�S�F‹|ÐðÜ�C‹yÐøÜ òÜ�S�F‹|Òðús© 4´A Á A )N)Ú itertoolsrrÚstrÚbytesrrórÚrsðÝ!óð&%(¨ <ô2r