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✨ File Manager Magic · Hostinger Optimized ✨
{|jdZgdZddlZddlZddlmZddlmZ ddlm Z ddl m ZddlmZdd lmZdd lmZdd lmZ dd lmZej8j;e dd lmZ ddlm Z GddejBZ"GddejFZ$GddejJZ&Gdde'Z(Gdde)Z* ddlm*Z* ddlm+Z+dddddZ,dZ- dd lm-Z-Gd!d"e)Z.Gd#d$ej^Z0Gd%d&ej^Z1Gd'd(ej8Z2Gd)d*ejfZ4y#e$rYwxYw#e$rYwxYw#e$rYwxYw#e$rYwxYw#e$rdZ+YwxYw#e$rYwxYw)+a?This module implements specialized container datatypes providing alternatives to Python's general purpose built-in containers, dict, list, set, and tuple. * namedtuple factory function for creating tuple subclasses with named fields * deque list-like container with fast appends and pops on either end * ChainMap dict-like class for creating a single view of multiple mappings * Counter dict subclass for counting hashable objects * OrderedDict dict subclass that remembers the order entries were added * defaultdict dict subclass that calls a factory function to supply missing values * UserDict wrapper around dictionary objects for easier dict subclassing * UserList wrapper around list objects for easier list subclassing * UserString wrapper around string objects for easier string subclassing ) ChainMapCounter OrderedDictUserDictUserList UserString defaultdictdeque namedtupleN)chain)repeat)starmap) iskeyword)eq) itemgetter)recursive_repr)proxy)r )_deque_iterator)rceZdZdZy)_OrderedDictKeysViewc#JKt|jEd{y7wNreversed_mappingselfs -/usr/lib64/python3.12/collections/__init__.py __reversed__z!_OrderedDictKeysView.__reversed__AsDMM***s #!#N__name__ __module__ __qualname__rrrr?s+r%rceZdZdZy)_OrderedDictItemsViewc#fKt|jD]}||j|fywrrrkeys rrz"_OrderedDictItemsView.__reversed__Fs-DMM*C c*+ ++s/1Nr r$r%rr'r'Ds,r%r'ceZdZdZy)_OrderedDictValuesViewc#bKt|jD]}|j|ywrrr)s rrz#_OrderedDictValuesView.__reversed__Ls(DMM*C--$ $+s-/Nr r$r%rr,r,Js%r%r,ceZdZdZy)_Link)prevnextr* __weakref__N)r!r"r# __slots__r$r%rr/r/Ps4Ir%r/cdeZdZdZdZddZejee fdZejfdZ dZ dZ dZ dd Zdd Zd Zej$j&xZZd Zd ZdZej$j0ZeZefdZddZedZdZdZ e!ddZ"dZ#dZ$dZ%dZ&y)rz)Dictionary that remembers insertion orderctj|}t|_t |jx|_}|x|_|_i|_|S)zDCreate the ordered dict object and set up the underlying structures.) dict__new__r/_OrderedDict__hardroot_proxy_OrderedDict__rootr0r1_OrderedDict__map)clsargskwdsrroots rr7zOrderedDict.__new__bsH||C '#DOO44 d $$ DI  r%c *|j|fi|y)zInitialize an ordered dictionary. 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Comparison to another OD is order-sensitive while comparison to a regular mapping is order-insensitive. )rrr6__eq__allmap_eqrrBs rrzOrderedDict.__eq__7sC e[ );;tU+JCT54I0J J{{4''r%c(|j||Sr)updaters r__ior__zOrderedDict.__ior__@s E r%cvt|tstS|j|}|j ||Srrr6NotImplementedr~rrrBnews r__or__zOrderedDict.__or__Ds1%&! !nnT" 5 r%cvt|tstS|j|}|j ||Srrrs r__ror__zOrderedDict.__ror__Ks1%&! !nnU# 4 r%)r$)Tr)'r!r"r#__doc__r7rCr6rJr9r/rPrTrrYr\r`rk_collections_abcMutableMappingrrArmrorq__ne__objectrsrLry_recursive_reprrrr classmethodrrrrrr$r%rrrSs/%"&!1!1e '-1,<,< .2)77>>>FX*+, , , 3 3FxH',HH C&$(r%r)r) _tuplegetterc.tt||S)N)doc)property _itemgetter)indexrs rrash{5/As&Kr%F)renamedefaultsmodulec 2ttr jddjt t tt jt|}|rft}tD]N\}}|jr t|s|jds||vrd||<|j|P|gzD]U}t|tur td|jst!d|t|sIt!d|t}D]F}|jdr|st!d|||vrt!d||j|Hi}|ft#|}t%|t%kDr td t't)t t+t)t)|}t#t t jt%d j-} d k(r| dz } d d j-d Dzdzt"j.t&t"t$t t*f\id|d} d| d| d} t1| | } d| _d|d | d| _||| _t8fd} d|d| j:_fd}d|d|_fd}fd}fd}| | j:||||fD]}|d|j2|_|d | dd || | ||||d! }tD],\}}t jd"|}t?||||<.t|t"f|}| t j@d xsd#}|||_%|S#tB$rI t jDd jFjId$d#}n#tBt f$rYnwxYwY\wxYw)%aCReturns a new subclass of tuple with named fields. >>> Point = namedtuple('Point', ['x', 'y']) >>> Point.__doc__ # docstring for the new class 'Point(x, y)' >>> p = Point(11, y=22) # instantiate with positional args or keywords >>> p[0] + p[1] # indexable like a plain tuple 33 >>> x, y = p # unpack like a regular tuple >>> x, y (11, 22) >>> p.x + p.y # fields also accessible by name 33 >>> d = p._asdict() # convert to a dictionary >>> d['x'] 11 >>> Point(**d) # convert from a dictionary Point(x=11, y=22) >>> p._replace(x=100) # _replace() is like str.replace() but targets named fields Point(x=100, y=22) , _z*Type names and field names must be stringsz6Type names and field names must be valid identifiers: z0Type names and field names cannot be a keyword: z-Field names cannot start with an underscore: z"Encountered duplicate field name: z(Got more default values than field names, rbr|c3&K|] }|d yw)z=%rNr$).0names r znamedtuple..sD $s| sr} namedtuple_) _tuple_new __builtins__r!z lambda _cls, z: _tuple_new(_cls, (z))r7zCreate new instance of cd||}|k7rtddt||S)Nz Expected z arguments, got ) TypeErrorrf)r<rrv_len num_fields tuple_news r_makeznamedtuple.._makes=3) <: %i |3CCK=QR R r%z Make a new z# object from a sequence or iterablec|j|j|}|rtdt||S)NzGot unexpected field names: )rrL ValueErrorlist)rr>rv_map field_namess r_replaceznamedtuple.._replaces=D;=> ;DJ>JK K r%z Return a new z2 object replacing specified fields with new valuesc<|jj|zzS)z/Return a nicely formatted representation string)r~r!)rrepr_fmts rrznamedtuple..__repr__s~~&&D88r%c6|j|S)z9Return a new dict which maps field names to their values.)_fields)r_dict_zips r_asdictznamedtuple.._asdictsT$,,-..r%c|S)z7Return self as a plain tuple. Used by copy and pickle.r$)r_tuples r__getnewargs__z"namedtuple..__getnewargs__s d|r%.r$) rr3r_field_defaultsr7rrrrr__match_args__zAlias for field number __main__r!)&rstrreplacesplitrrrdinternset enumerate isidentifier _iskeyword startswithaddtyperrrrfr6rzipjoinr7evalr!r __defaults__r__func__r#r_getframemodulenameAttributeError _getframe f_globalsgetr")typenamerrrrseenrrfield_defaultsarg_list namespacecoder7rrrrrmethodclass_namespacerrvrrrrrrrrs ` @@@@@@@@rr r css4+s#!))#s399; s3 ,-K{{3x=)H u$[1KE4%%'d#??3'4<'([ E" HHTN 2 [( :S HI I  "--1H67 7 d ))-23 3) 5D ??3 L $x)* * 4<A$JK K  N? x=3{+ +FG GhtC0E080B-D(EFGDKK56K[!Jyy%HQCTYYD DDDsJH I&*E3S&@#E64t  !(,I 8*$8 " ED4#G G/z8*AFGO' !,H:6,,ENN (z211H9/   "* !FOO+<=Zq !,)(% O!- tkk3E7;< ,UC 8.(UHo 6F~ --a0>JF " M  *4488ZP"J/   s6 O P/O>=P>P PPPPcH|j}|D]}||ddz||<y)z!Tally elements from the iterable.r rbN)r)mappingr mapping_getelems r_count_elementsrs*++K#D!,q0 r%)rceZdZdZdfd ZdZdZddZdZe ddZ dfd Z dd Z d Z d Zfd Zd ZdZdZdZdZdZdZdZdZdZdZdZdZdZdZdZdZ dZ!xZ"S) raDict subclass for counting hashable items. Sometimes called a bag or multiset. Elements are stored as dictionary keys and their counts are stored as dictionary values. >>> c = Counter('abcdeabcdabcaba') # count elements from a string >>> c.most_common(3) # three most common elements [('a', 5), ('b', 4), ('c', 3)] >>> sorted(c) # list all unique elements ['a', 'b', 'c', 'd', 'e'] >>> ''.join(sorted(c.elements())) # list elements with repetitions 'aaaaabbbbcccdde' >>> sum(c.values()) # total of all counts 15 >>> c['a'] # count of letter 'a' 5 >>> for elem in 'shazam': # update counts from an iterable ... c[elem] += 1 # by adding 1 to each element's count >>> c['a'] # now there are seven 'a' 7 >>> del c['b'] # remove all 'b' >>> c['b'] # now there are zero 'b' 0 >>> d = Counter('simsalabim') # make another counter >>> c.update(d) # add in the second counter >>> c['a'] # now there are nine 'a' 9 >>> c.clear() # empty the counter >>> c Counter() Note: If a count is set to zero or reduced to zero, it will remain in the counter until the entry is deleted or the counter is cleared: >>> c = Counter('aaabbc') >>> c['b'] -= 2 # reduce the count of 'b' by two >>> c.most_common() # 'b' is still in, but its count is zero [('a', 3), ('c', 1), ('b', 0)] c Ht||j|fi|y)a Create a new, empty Counter object. And if given, count elements from an input iterable. Or, initialize the count from another mapping of elements to their counts. >>> c = Counter() # a new, empty counter >>> c = Counter('gallahad') # a new counter from an iterable >>> c = Counter({'a': 4, 'b': 2}) # a new counter from a mapping >>> c = Counter(a=4, b=2) # a new counter from keyword args N)superrCr)rrr>r~s rrCzCounter.__init__Ss#  H%%r%cy)z1The count of elements not in the Counter is zero.r r$r)s r __missing__zCounter.__missing__asr%c4t|jS)zSum of the counts)sumrqrs rtotalz Counter.totalfs4;;=!!r%c|%t|jtddSddl}|j ||jtdS)zList the n most common elements and their counts from the most common to the least. If n is None, then list all element counts. >>> Counter('abracadabra').most_common(3) [('a', 5), ('b', 2), ('r', 2)] NrbT)r*reverser )r*)sortedrorheapqnlargest)rrirs r most_commonzCounter.most_commonjsF 9$**,KNDI I ~~a;q>~BBr%cdtjtt|j S)aIterator over elements repeating each as many times as its count. >>> c = Counter('ABCABC') >>> sorted(c.elements()) ['A', 'A', 'B', 'B', 'C', 'C'] Knuth's example for prime factors of 1836: 2**2 * 3**3 * 17**1 >>> import math >>> prime_factors = Counter({2: 2, 3: 3, 17: 1}) >>> math.prod(prime_factors.elements()) 1836 Note, if an element's count has been set to zero or is a negative number, elements() will ignore it. )_chain from_iterable_starmap_repeatrors relementszCounter.elementszs"&##HWdjjl$CDDr%ctd)Nz@Counter.fromkeys() is undefined. Use Counter(iterable) instead.)NotImplementedError)r<rvs rrzCounter.fromkeyss" NP Pr%c |lt|tjrF|r4|j}|j D]\}}|||dz||<nt ||n t|||r|j |yy)aLike dict.update() but add counts instead of replacing them. Source can be an iterable, a dictionary, or another Counter instance. >>> c = Counter('which') >>> c.update('witch') # add elements from another iterable >>> d = Counter('watch') >>> c.update(d) # add elements from another counter >>> c['h'] # four 'h' in which, witch, and watch 4 Nr )rrMappingrrorrr)rrr>self_getrcountr~s rrzCounter.updates~(  ($4$<$<=#xxH'/~~'7 e%*XdA->%>T (8GN8,h/  KK  r%c |d|j}t|tjr(|j D]\}}||d|z ||<n|D]}||ddz ||<|r|j |yy)aLike dict.update() but subtracts counts instead of replacing them. Counts can be reduced below zero. Both the inputs and outputs are allowed to contain zero and negative counts. Source can be an iterable, a dictionary, or another Counter instance. >>> c = Counter('which') >>> c.subtract('witch') # subtract elements from another iterable >>> c.subtract(Counter('watch')) # subtract elements from another counter >>> c['h'] # 2 in which, minus 1 in witch, minus 1 in watch 0 >>> c['w'] # 1 in which, minus 1 in witch, minus 1 in watch -1 Nr rb)rrrrrosubtract)rrr>rrrs rrzCounter.subtracts  xxH($4$<$<=#+>>#3KD%!)$!2U!:DJ$4%D!)$!2Q!6DJ%  MM$  r%c$|j|S)zReturn a shallow copy.rrs rrz Counter.copyrr%c2|jt|ffSr)r~r6rs rrzCounter.__reduce__s~~T },,r%c.||vrt||yy)zGLike dict.__delitem__() but does not raise KeyError for missing values.N)rrP)rrr~s rrPzCounter.__delitem__s 4< G  % r%c|s|jjdS t|j}|jjd|dS#t$rt|}Y2wxYw)Nr{r|r})r~r!r6rr)rds rrzCounter.__repr__sonn--.b1 1 T%%'(A..))*!A522 T A sAA)(A)c`ttstStfdfDS)z=True if all counts agree. Missing counts are treated as zero.c3BK|]}|D]}||k(ywrr$rcerBrs rrz!Counter.__eq__..(I 1q!47eAh&q& rrrrrs``rrzCounter.__eq__(%)! !Iu IIIr%c:t|tstS||k( S)z@True if any counts disagree. 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P P D 6$-& 3ZJ ! J / J / &&("  % % % %r%rceZdZdZdZdZdZddZdZdZ d Z d Z e d Z ed Zd ZeZddZedZdZdZdZdZdZdZdZdZy)ra A ChainMap groups multiple dicts (or other mappings) together to create a single, updateable view. The underlying mappings are stored in a list. That list is public and can be accessed or updated using the *maps* attribute. There is no other state. Lookups search the underlying mappings successively until a key is found. In contrast, writes, updates, and deletions only operate on the first mapping. c.t|xsig|_y)zInitialize a ChainMap by setting *maps* to the given mappings. If no mappings are provided, a single empty dictionary is used. 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