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1IHtt`H<$HHtO1蘷HIt(1H0HtPHhL`@ !HmuHEHP01HL$dH3 %(uZH[]A\DHmt9I,$uID$LP01H=qH'HEHP0ϷDf.USHHXD蛸HtHg* H8tkH{ŸHtXH{׸HtJH{C HCH/tEH{4HtHŋC uH{HٷtHmtfD1HH[]@HGP0HEHP0ATIUHSHHHt HՅuQH{Ht LՅu?H{ Ht LՅu-H{(Ht LՅuH{01Ht[HL]A\@[]A\Ðf.AUIATIUHSHHHt HAԅuJE1ۅ~ HcH|(Ht LAԅu)9]H} 1HtHLL[]A\A]@H[]A\A]DSHH1H0HtHXH@H[fDHHP1HHuHSHD$HR0HD$fSHHHtHH[fD1[ff.UH(Z HSHHH9t(H谶Ht.HHH[]:f.H=H!uH1[]@ATIUHSHH Ht HAԅu0H{(Ht HAԅuH{01Ht[HL]A\fD[]A\Ðf.ATUSHcoH8 LgA9l$~QID(HC[]A\HoHE H}Ht_HLe Mt`HSH*t8LcC1A9l$I|$Ht3AD$ID(H{HGP0kHHE u1sf.HHt!HHe& H5VH8ֳ1HDf.ATHUSHHHwH9tHH='1[]A\̴@HHHH{ HGt HE1HHtHP$Hu$H=1qIHEHPHHUt%HtHHHPLHHtH[]A\DHUHR0@HSLd$HR0HD$fLHu$H=X11I~1HWHH9tHwH=;1KHO HW1HwH=.@f.UHSHHHH9tHGHCH[]QHkHt'Hs H蛱Ht#HCHH[]HHu1Df.ATH5W& H& AUSHHHHdH%(H$1H$ H5C H=9H,c HItQH$HHu8hH{.HNHHpHL蛲H]Ht2HjyH$dH3%(uAHİ[]A\H=b 4xH=` $xH=d 議HHO|nn must be >= 0__copy__O|O:groupbyOO:compressO|n:repeatrepeat(%s)repeat(%s, %zd)|n:productr must be 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maxint.Indices for islice() must be None or an integer: 0 <= x <= maxint.Step for islice() must be a positive integer or None.itertools.combinations_with_replacement;$c8@xhȮX(`H8p8سP(xȴ0hhص X@x`h8 @ h` ػ H h ؽ H@ h ؿ 8 x ( ( (x ( 8x HXx0PX(``(x@X(HHHx888`(H 8xzRx $PFJ w?;*3$"4DEBDD a GBL AAB4| ADD  CAA ] CAA 4EBDD a GBL AAB4(EBDD a GBL AAB4<@EBDD a GBL AABtXL`BBA A(G0i (A ABBD H(D ABB4EBDD a GBL AAB4EBDD a GBL AAB4L EBDD a GBL AAB48EBDD a GBL AAB4PEBDD a GBL AAB4hEBDD a GBL AAB4,EBDD a GBL AAB4dEBDD a GBL AAB4EBDD a GBL AAB4ȭEBDD a GBL AAB4 EBDD a GBL AAB4DEBDD a GBL AAB|+L0BBD A(D0O (D ABBK K (D ABBD EAk L AT<A L \=As|Ac L peAK L eAK L eAK L `eAK L eAK L <eAK L \PeAK L |eAK L =AseAK L `eAK L eAK L $MAKD wDA$D(GAKD qDA4lPAAD K DAJ ^ DAE [D Q A H2AphAT|h BBB E(A0A8DP 8C0A(B BBBH d 8D0A(B BBBG t 8C0A(B BBBA |iBEB B(A0A8D` 8D0A(B BBBA L 8C0A(B BBBA u 8C0A(B BBBA L BBA D(D0l (C ABBG l (D ABBC |T BBB B(A0A8GP 8C0A(B BBBA  8D0A(B BBBA d 8C0A(B BBBA | (BEB B(A0A8DP 8C0A(B BBBH  8D0A(B BBBA d 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6,F,V,f,v,,,,,,,,,--&-6-F-V-f-v---------..&.6.F.V.f.v.........//&/6/F/V/f/ ` @ ` @ Functional tools for creating and using iterators. Infinite iterators: count([n]) --> n, n+1, n+2, ... cycle(p) --> p0, p1, ... plast, p0, p1, ... repeat(elem [,n]) --> elem, elem, elem, ... endlessly or up to n times Iterators terminating on the shortest input sequence: chain(p, q, ...) --> p0, p1, ... plast, q0, q1, ... compress(data, selectors) --> (d[0] if s[0]), (d[1] if s[1]), ... dropwhile(pred, seq) --> seq[n], seq[n+1], starting when pred fails groupby(iterable[, keyfunc]) --> sub-iterators grouped by value of keyfunc(v) ifilter(pred, seq) --> elements of seq where pred(elem) is True ifilterfalse(pred, seq) --> elements of seq where pred(elem) is False islice(seq, [start,] stop [, step]) --> elements from seq[start:stop:step] imap(fun, p, q, ...) --> fun(p0, q0), fun(p1, q1), ... starmap(fun, seq) --> fun(*seq[0]), fun(*seq[1]), ... tee(it, n=2) --> (it1, it2 , ... itn) splits one iterator into n takewhile(pred, seq) --> seq[0], seq[1], until pred fails izip(p, q, ...) --> (p[0], q[0]), (p[1], q[1]), ... izip_longest(p, q, ...) --> (p[0], q[0]), (p[1], q[1]), ... Combinatoric generators: product(p, q, ... [repeat=1]) --> cartesian product permutations(p[, r]) combinations(p, r) combinations_with_replacement(p, r) izip_longest(iter1 [,iter2 [...]], [fillvalue=None]) --> izip_longest object Return an izip_longest object whose .next() method returns a tuple where the i-th element comes from the i-th iterable argument. The .next() method continues until the longest iterable in the argument sequence is exhausted and then it raises StopIteration. When the shorter iterables are exhausted, the fillvalue is substituted in their place. The fillvalue defaults to None or can be specified by a keyword argument. repeat(object [,times]) -> create an iterator which returns the object for the specified number of times. If not specified, returns the object endlessly.Private method returning an estimate of len(list(it)).izip(iter1 [,iter2 [...]]) --> izip object Return a izip object whose .next() method returns a tuple where the i-th element comes from the i-th iterable argument. The .next() method continues until the shortest iterable in the argument sequence is exhausted and then it raises StopIteration. Works like the zip() function but consumes less memory by returning an iterator instead of a list.count(start=0, step=1) --> count object Return a count object whose .next() method returns consecutive values. Equivalent to: def count(firstval=0, step=1): x = firstval while 1: yield x x += step Return state information for pickling.ifilterfalse(function or None, sequence) --> ifilterfalse object Return those items of sequence for which function(item) is false. If function is None, return the items that are false.ifilter(function or None, sequence) --> ifilter object Return those items of sequence for which function(item) is true. If function is None, return the items that are true.compress(data, selectors) --> iterator over selected data Return data elements corresponding to true selector elements. Forms a shorter iterator from selected data elements using the selectors to choose the data elements.permutations(iterable[, r]) --> permutations object Return successive r-length permutations of elements in the iterable. permutations(range(3), 2) --> (0,1), (0,2), (1,0), (1,2), (2,0), (2,1)combinations_with_replacement(iterable, r) --> combinations_with_replacement object Return successive r-length combinations of elements in the iterable allowing individual elements to have successive repeats. combinations_with_replacement('ABC', 2) --> AA AB AC BB BC CCcombinations(iterable, r) --> combinations object Return successive r-length combinations of elements in the iterable. combinations(range(4), 3) --> (0,1,2), (0,1,3), (0,2,3), (1,2,3)product(*iterables) --> product object Cartesian product of input iterables. Equivalent to nested for-loops. For example, product(A, B) returns the same as: ((x,y) for x in A for y in B). The leftmost iterators are in the outermost for-loop, so the output tuples cycle in a manner similar to an odometer (with the rightmost element changing on every iteration). To compute the product of an iterable with itself, specify the number of repetitions with the optional repeat keyword argument. For example, product(A, repeat=4) means the same as product(A, A, A, A). product('ab', range(3)) --> ('a',0) ('a',1) ('a',2) ('b',0) ('b',1) ('b',2) product((0,1), (0,1), (0,1)) --> (0,0,0) (0,0,1) (0,1,0) (0,1,1) (1,0,0) ...chain.from_iterable(iterable) --> chain object Alternate chain() contructor taking a single iterable argument that evaluates lazily.chain(*iterables) --> chain object Return a chain object whose .next() method returns elements from the first iterable until it is exhausted, then elements from the next iterable, until all of the iterables are exhausted.imap(func, *iterables) --> imap object Make an iterator that computes the function using arguments from each of the iterables. Like map() except that it returns an iterator instead of a list and that it stops when the shortest iterable is exhausted instead of filling in None for shorter iterables.starmap(function, sequence) --> starmap object Return an iterator whose values are returned from the function evaluated with a argument tuple taken from the given sequence.islice(iterable, [start,] stop [, step]) --> islice object Return an iterator whose next() method returns selected values from an iterable. If start is specified, will skip all preceding elements; otherwise, start defaults to zero. Step defaults to one. If specified as another value, step determines how many values are skipped between successive calls. Works like a slice() on a list but returns an iterator.takewhile(predicate, iterable) --> takewhile object Return successive entries from an iterable as long as the predicate evaluates to true for each entry.dropwhile(predicate, iterable) --> dropwhile object Drop items from the iterable while predicate(item) is true. Afterwards, return every element until the iterable is exhausted.cycle(iterable) --> cycle object Return elements from the iterable until it is exhausted. Then repeat the sequence indefinitely.tee(iterable, n=2) --> tuple of n independent iterators.Iterator wrapped to make it copyableReturns an independent iterator.Data container common to multiple tee objects.groupby(iterable[, keyfunc]) -> create an iterator which returns (key, sub-iterator) grouped by each value of key(value). ~~}}~ ~~}~~~ L` 3~0y c~z ~w |0@ ~8:E` xp[]C~ P:RE` 77 0QT~( ;E@ P7G_n~(;pyE 7z@ @k~~ <E 6mpa~ p<E `6npb~ <E 6oN~@`UE 5DY8@WE` p5HU~8YE 5JW~0TE@ 4BR P=E 4pg w =E 04rpc' 0>E 3pspd98>E 23phJ(>E` 2ppe^(P?E @2qpfr(?E 1`u0t(`BA 1 B px A@9A v0 8A`078`9E` vOMitertoolsmodule.so.debugS7zXZִF!t/2]?Eh=ڊ2N$D1uR+LƹU)mNq PzR'ܚ v[‘cV OԆlYiyΆf!|Z7ON #E] G 4fK)EW;o_Tv0S[- !#wWK'u1Y.q.Q O|E? 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