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X/, LX 1 ,X 4/ X $ 4/' eYY   Y@ :%e; 34 X TX X 3,X2 e;X 12[0!e"X5 0LY 6 ,Y 9/ Y $ 9/' "eL 89 ܊Y TY Y 8,Y7#e;Y 67Z5$e!Y* 5/\Z > Z $ >' &dL => p:Z <   Z =p=Z <E;'d" ?;=Y (= A?L QȑA]@)dfk B@w B+* Z C@ Z D  \Z H Z $ H' ,dLa  La  a % ( ^d GH p>Z F   Z GpAZ FEE-d" IEAZ.=KILQȑK]J/dfkLJwL10 ZMJ ,ZP:,[SM [ $ SM' 2d,a :,a C a % C( [dRS tZTURT UTR3d|ZQRZZ  BB RandomStateBk0Bk1Q *37P}QO4dZVOZ V56 [N  7,[OW,[NW [7L[[ ,\^M \ $ ^M' 8dL]^ ܇\T\C \]z,\\9d,\}[\JZ:d [&YZ[*_Y \ % _Y' ;dMX_ L\c ,\fC \ $ fC' <dLef \T\esM \,\d=d,\}cdJb>d \&ab\*ga \ % ga' ?dM`g L]m ]oN]pDĴ]T]o3p*,]n@d*Գ]}monHlAd ]#kl ]sN,]tCs tCsBd,rt \]ur ] $ ur' CdLqu ]1vkq vkqDd-jv ]5wj ] % wj' EdMiw ]zD4]{Mz {MzFd,y{ d]|y ] $ |y' GdLx| ]D}ix }ixHd-h} L^ ^T^C ^M ^,^Id/̢^}ZOJd#^"^& ^ & ( KdO~ ,^C ^ % C( LdN t^# Md;,^M ^ % M( NdN t^# Od;^  uPd18SQ4_DM_~ _ % ~( RdN~ ^sS`~`&`>`l`h`Td(`;`>Xt`LUd'__>KVd'L_ ,_C _ % C( WdN ,_M _ % M( XdN _T_,_Yd._!QZd&_ .  ta  # \d; a ,a j]d  ?-G}5  6->u#u\ =-EuCLU--  0 -! t -based`f 7LYuu _-gu - |  4Z unu h-pu -x ( ZřǙșəʙ˙G*R{9 X s  y- -d[  t[  R -- l\   d -- ] S    V    . r --N- -  &  j   -z -F -  ^ W     -h    -(    4  -  L S -    [  #  Z      -   - 4 x - j  k-s I-QNa_elems\b_elemsgblbod distancesh max_distanceG+  /elems :k ? Cdby DInMJNWinsertion_costX deletion_cost`transposition_costhsubstitution_cost~, w"" ! ȑXDȑS{ȑȑ"z}}}s}CW> >a >9 B  q ʻI  }d . u4 ; uA ( b b}#(4 >GQP b--% bH b -l-s4 AKbb%/@c c 8c c1<kQ@cc ,4(c c1< F  q{ $j řCCC=C=7jg E j jjjMi$iřǙșəʙ˙G*R{9 f 256܉܉  ̗  W b$ Ks 256ĥ% "#'""# % 鵏94^el"#,-56=>?@AEWdijkmqy$2max min <<, $, u<g Lg $hi Chars,63 This library implements string similarity metrics."#,-56=>?@AEWdijkmqyst2q n mlk j, uig hg ghyi gbqLjD[^KN̼B6*D |D|g<  ggg cgcثq1ȡB  $  l +  NK Calculates the number of positions in the two sequences where the elements EB differ. Returns an error if the sequences have different lengths.| +B  , , ", #, PԜ P"d P P#d "# "#1NK Calculates the number of positions in the two strings where the charactersC@ differ. Returns an error if the strings have different lengths.< ```<9 use strsim::{hamming, StrSimError::DifferentLengthArgs};52 assert_eq!(Ok(3), hamming("hamming", "hammers"));DA assert_eq!(Err(DifferentLengthArgs), hamming("hamming", "ham"));<<  +B    LI Calculates the Jaro similarity between two sequences. The returned value=: is between 0.0 and 1.0 (higher value means more similar).d  0  12B    !!  0,1,;,B,PP;dPPBd;B   01;B,,5, l% $$""# % 鵏94 鵏94#%  B vB"" # %<%""%3 ' ('()*+PPP+%%L&$&&&l&D&&&yD4]Nc &$L&PB&& +  $&)$'JG Calculates the Jaro similarity between two strings. The returned value'=(<(( use strsim::jaro;((MJ assert!((0.392 - jaro("Friedrich Nietzsche", "Jean-Paul Sartre")).abs() <( 0.001);<)$)  2B ) , ) )*)GD Like Jaro but gives a boost to sequences that have a common prefix.*2B . /012 3.3/120 ,*,*,*,*Ժ+d++d+, -  01;Bm7v7**z|--4444-l0,.EB Like Jaro but gives a boost to strings that have a common prefix./ assert_eq!(3, generic_levenshtein(&[1,2,3], &[1,2,3,4,5,6]));<33 B 7 89:; <97<8:; ,3,3,3,3ԩ4d44d44 6  01;B??33z|;-9M:1. required to change one string into the other.:<:: use strsim::levenshtein;::41 assert_eq!(3, levenshtein("kitten", "sitting"));<;\;   B ; = ; ;@6; 1.0 (inclusive), where 1.0 means the strings are the same.=<=='$ use strsim::normalized_levenshtein;==UR assert!((normalized_levenshtein("kitten", "sitting") - 0.57142).abs() < 0.00001);>DA assert!((normalized_levenshtein("", "") - 1.0).abs() < 0.00001);>B? assert!(normalized_levenshtein("", "second").abs() < 0.00001);?A> assert!(normalized_levenshtein("first", "").abs() < 0.00001);@PM assert!((normalized_levenshtein("string", "string") - 1.0).abs() < 0.00001);<@@  2B @ > @ AC.BOL Like Levenshtein but allows for adjacent transpositions. Each substring canB only be edited once.C assert_eq!(2, generic_damerau_levenshtein(&[1,2], &[2,3,1]));PM Calculates a normalized score of the Damerau–Levenshtein algorithm betweenҞFC 0.0 and 1.0 (inclusive), where 1.0 means the strings are the same.</, use strsim::normalized_damerau_levenshtein;՟ٟfc assert!((normalized_damerau_levenshtein("levenshtein", "löwenbräu") - 0.27272).abs() < 0.00001);LI assert!((normalized_damerau_levenshtein("", "") - 1.0).abs() < 0.00001);JG assert!(normalized_damerau_levenshtein("", "flower").abs() < 0.00001);ءHE assert!(normalized_damerau_levenshtein("tree", "").abs() < 0.00001);`] assert!((normalized_damerau_levenshtein("sunglasses", "sunglasses") - 1.0).abs() < 0.00001);<  2B  j  >< lB  k L'k8kIJJJJ by]yD4]Nc8SkipGGBudmRl8 Q앦Q8FƲ5ײ%k-B? 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