hNSSKJrJr SSKJr SSjr\\44Sjr"SS5r g) ) defaultdictdeque) filterfalseNc## [5nURnUc*[URU5HnU"U5 Uv M gUHnU"U5nXR;dMU"U5 Uv M g7f)zHList unique elements, preserving order. Remember all elements ever seen.N)setaddr __contains__)iterablekeyseenseen_addelementks U/var/www/auris/envauris/lib/python3.13/site-packages/importlib_metadata/_itertools.pyunique_everseenrsg 5DxxH {"4#4#4h?G W M@ GG A}   s AA+A+cUc [S5$Ub[X5(a [U45$[U5$![a [U45s$f=f)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 :AAc:\rSrSrSrS SjrSrSrSrSr S r g) bucketNarWrap *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]) [] Ncz[U5UlX l[[5UlU=(d SUlg)Ncg)NTr)xs r!bucket.__init__..vs$)r_it_keyrr_cache _validator)selfr r validators r__init__bucket.__init__rs*> !%( #7r"cURU5(dg[X5nURURU5 g![a gf=f)NFT)r&nextr% appendleft StopIteration)r'valueitems rr bucket.__contains__xsUu%% 0 $D KK  ) )$ /   s A AAc#h# URU(a URUR5v Oh[UR5nUR U5nX1:XaUv O6UR U5(aURURU5 MgM![a gf=f7f)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$r&append)r'r/r0 item_values r _get_valuesbucket._get_valuess {{5!kk%(0022#DHH~"&4J!*" 44 J/66t<)s)7B2B"AB2" B/,B2.B//B2c## URHJnURU5nURU5(dM,URUR U5 ML URR 5ShvN gN7fN)r#r$r&r%r4keys)r'r0r5s r__iter__bucket.__iter__s^HHD4Jz** J'..t4 ;;##%%%s5B?B:B;BcfURU5(d [S5$URU5$)Nr)r&rr6)r'r/s r __getitem__bucket.__getitem__s+u%%8O&&r")r%r#r$r&r9) __name__ __module__ __qualname____firstlineno____doc__r)r r6r;r>__static_attributes__rr"rrrNs!!F8 =4&'r"rr9) collectionsrr itertoolsrrstrbytesrrrr"rrJs+*!&%(<2l]']'r"