+ ~jP^RIHtHt^RIHtRRlt]]33Rlt!RR4t R#) ) defaultdictdeque) 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&& r/Users/mitch_tango/dev/rabbit-r1-livekit/agent/.venv/lib/python3.14/site-packages/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 =AAcFa]tRt^NtoRtR RltRtRtRtRt Rt Vt R#) bucketarWrap *iterable* and return an object that buckets the iterable into child iterables based on a *key* function. >>> iterable = ['a1', 'b1', 'c1', 'a2', 'b2', 'c2', 'b3'] >>> s = bucket(iterable, key=lambda x: x[0]) # Bucket by 1st character >>> sorted(list(s)) # Get the keys ['a', 'b', 'c'] >>> a_iterable = s['a'] >>> next(a_iterable) 'a1' >>> next(a_iterable) 'a2' >>> list(s['b']) ['b1', 'b2', 'b3'] The original iterable will be advanced and its items will be cached until they are used by the child iterables. This may require significant storage. By default, attempting to select a bucket to which no items belong will exhaust the iterable and cache all values. If you specify a *validator* function, selected buckets will instead be checked against it. >>> from itertools import count >>> it = count(1, 2) # Infinite sequence of odd numbers >>> key = lambda x: x % 10 # Bucket by last digit >>> validator = lambda x: x in {1, 3, 5, 7, 9} # Odd digits only >>> s = bucket(it, key=key, validator=validator) >>> 2 in s False >>> list(s[2]) [] Nc~\V4VnW n\\4VnT;'gRVnR#)cR#)Tr)xs&r!bucket.__init__..vs$N)r_it_keyrr_cache _validator)selfr r validators&&&&r__init__bucket.__init__rs-> !%( #77r!cVPV4'gR#\W,4pVPV,PV4R# \dR#i;i)FT)r%nextr$ appendleft StopIteration)r&valueitems&& rr bucket.__contains__xsUu%% 0 $D KK  ) )$ /   sA AAc# "VPV,'d&VPV,P4xK?\VP4pTP T4pY18XdTxKsTP T4'gKMTPT,PT4Kq \dR#i;i5i)z Helper to yield items from the parent iterator that match *value*. Items that don't match are stored in the local cache as they are encountered. N)r$popleftr+r"r-r#r%append)r&r.r/ item_values&& r _get_valuesbucket._get_valuess {{5!!kk%(0022#DHH~"&4J!*" 44 J/66t<)s4C&CB31C$C3 C>CCCc#"VPFOpVPV4pVPV4'gK-VPV,P V4KQ VPP 4RjxL R#L5iN)r"r#r%r$r3keys)r&r/r4s& r__iter__bucket.__iter__s^HHD4Jz** J'..t4 ;;##%%%s5BAB?BBchVPV4'g \R4#VPV4#)Nr)r%rr5)r&r.s&&r __getitem__bucket.__getitem__s+u%%8O&&r!)r$r"r#r%r8) __name__ __module__ __qualname____firstlineno____doc__r(r r5r:r=__static_attributes____classdictcell__) __classdict__s@rrrNs)!F8 =4&''r!rr8) collectionsrr itertoolsrrstrbytesrrrr!rrKs+*!&%(<2l]']'r!