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Returns an error if the sequences have different lengths.ﾁ|ｺ ﾔ"B  ﾆ,ﾊ ﾆ,ﾑ ﾆｦ",ﾘ ﾆ$,ﾟ 傘ﾔ 襲ｦ"dｩ 傘ﾔﾃ 襲$dﾐ ｱｦ"$ ｦ"$ｧｩ､ｦ｡｣1NK Calculates the number of positions in the two strings where the charactersﾁﾕC@ differ. Returns an error if the strings have different lengths.ﾁ< ```ﾁ･<9 use strsim::{hamming, StrSimError::DifferentLengthArgs};ﾁ52 assert_eq!(Ok(3), hamming("hamming", "hammers"));ﾁDA assert_eq!(Err(DifferentLengthArgs), hamming("hamming", "ham"));ﾁ<ｳﾀ<  ﾔ"B    ﾙﾓﾎLI Calculates the Jaro similarity between two sequences. The returned valueﾁ=: is between 0.0 and 1.0 (higher value means more similar).ﾁd ｱ . ｺ /1Bｱ ｺ   !!  ﾆ.,ﾆ/,ﾆｳ6,ﾆ;,傘ﾔﾅﾔﾉ襲ﾔﾅｳ6dﾖ傘ﾝﾅﾔ襲ﾝﾅ;dｱｳ6; ｱ ｺ ./ｳ6;55ﾃﾅﾀﾂｽｿｺｼ lｬ%ｱ $$""#ﾟ % :JcF(>ｱ :JcF(>#% ｱ ﾞﾈB vｪﾉﾞﾈB"" #ｱ ｺ%<ｾ%""ｪﾉﾉ%3ｱ 'ｺ ('()*+襲娠善+ﾎ%ﾒ%L&$&&&l&D&&&ｫｫ窶ｫyD4]ｮ､Ncｺ ｹ&$Lｼ&娠B&& +ｱ ｺ ﾆ@)$'JG Calculates the Jaro similarity between two strings. The returned valueﾁﾋ'=ﾃ(<(ｳﾀｬ( use strsim::jaro;ﾁｫ(ｯ(MJ assert!((0.392 - jaro("Friedrich Nietzsche", "Jean-Paul Sartre")).abs() <ﾁ( 0.001);ﾁ<)ｳﾀ$)  1B ｨ) , ･) ｮ)ﾂ*ﾛ)GD Like Jaro but gives a boost to sequences that have a common prefix.ﾁ､ﾉ*ﾔﾅﾝﾅ1Bｱ .ｺ /012 3.3/120 ｽﾆ,*ﾍﾆ,*ﾝﾆ,*ﾆ,*ﾆﾔｺ+塞dﾇ+ﾇﾔ+ｰﾇd+ﾃﾇъ, -ｱ ｺ ./ｳ6;tF}Fﾞ**z|釆--4444-ｱｾ0,.EB Like Jaro but gives a boost to strings that have a common prefix.ﾁｩ/<ｭ/ｳﾀｵ/ use strsim::jaro_winkler;ﾁﾓ/ﾗ/JG assert!((0.866 - jaro_winkler("cheeseburger", "cheese fries")).abs() <ﾁ悗0塹<ｶ0ｳﾀdﾅ0  1B ﾕ0 5 ﾒ0 ﾛ0ｰ3ﾜｯ1MJ Calculates the minimum number of insertions, deletions, and substitutionsﾁ130 required to change one sequence into the other.ﾁｱ2<ｵ2ｳﾀｽ2$! use strsim::generic_levenshtein;ﾁ22A> assert_eq!(3, generic_levenshtein(&[1,2,3], &[1,2,3,4,5,6]));ﾁ<ｨ3ｳﾀ惺3ﾔﾅﾝﾅBｱ 7ｺ 89:; <97<8:; ｽﾆ,ﾓ3ﾍﾆ,ﾚ3ﾝﾆ,3ﾆ,3ﾆﾔｩ4塞dｶ4ﾇﾔﾔ4ｰﾇd4ﾃﾇ4 6ｱ ｺ ./ｳ6;UUﾋ3ﾏ3z|ｪ;-ﾀ9M耿:1. required to change one string into the other.ﾁﾀ:<ﾄ:ｳﾀ萠: use strsim::levenshtein;ﾁ::41 assert_eq!(3, levenshtein("kitten", "sitting"));ﾁ<｢;ｳﾀ\ｱ;  B ﾀ; = ｽ; ﾆ;ﾚ@6; 1.0 (inclusive), where 1.0 means the strings are the same.ﾁｩ=<ｭ=ｳﾀｵ='$ use strsim::normalized_levenshtein;ﾁﾝ==UR assert!((normalized_levenshtein("kitten", "sitting") - 0.57142).abs() < 0.00001);ﾁｷ>DA assert!((normalized_levenshtein("", "") - 1.0).abs() < 0.00001);ﾁ>B? assert!(normalized_levenshtein("", "second").abs() < 0.00001);ﾁｿ?A> assert!(normalized_levenshtein("first", "").abs() < 0.00001);ﾁ　PM assert!((normalized_levenshtein("string", "string") - 1.0).abs() < 0.00001);ﾁ<ﾒ@ｳﾀｴ瓠  1B @ > @ 、C.ｯBOL Like Levenshtein but allows for adjacent transpositions. Each substring canﾁﾄB only be edited once.ﾁ呂<廚ｳﾀ､C use strsim::osa_distance;ﾁﾂCﾆC-* assert_eq!(3, osa_distance("ab", "bca"));ﾁ assert_eq!(2, generic_damerau_levenshtein(&[1,2], &[2,3,1]));ﾁ<ﾁSｳﾀﾜﾐS｢｣ ｢ﾊ ｣ﾊBﾔ BB Sﾆﾟｻ$SﾌﾟｻｯThﾟｻ$ｴTﾟｻ,ｻT Aﾟｻ罅**LNｴﾄbｺDD､畸<臙ｺBCC D緘$緋g FFﾆLgﾖ鰮ﾓ|断ﾐGHIJ!L刺$刺EEL拮$拮EELｬh$ｬhEEｻh6ｻhEE弍hd LLﾉLh<ﾅi,ﾏiﾌﾗiMM=?､疂<臺BKK Mj_ OOﾉLj<ｴk弥,ｾk･ﾆk $ﾋkPSTUV8:ﾗk$ﾚkｩ ｩBN ﾞkN P$ﾟk虧ｾlPQQQQPQｹUｹ,ﾕlPRRRRPR ﾟｭU   ノ1◇PM Calculates a normalized score of the Damerau窶鏑evenshtein algorithm betweenﾁﾒFC 0.0 and 1.0 (inclusive), where 1.0 means the strings are the same.ﾁ辧<據ｳﾀ･/, use strsim::normalized_damerau_levenshtein;ﾁﾕﾙfc assert!((normalized_damerau_levenshtein("levenshtein", "lﾃｶwenbrﾃ､u") - 0.27272).abs() < 0.00001);ﾁﾀLI assert!((normalized_damerau_levenshtein("", "") - 1.0).abs() < 0.00001);ﾁ今JG assert!(normalized_damerau_levenshtein("", "flower").abs() < 0.00001);ﾁﾘ｡HE assert!(normalized_damerau_levenshtein("tree", "").abs() < 0.00001);ﾁ｡｢`] assert!((normalized_damerau_levenshtein("sunglasses", "sunglasses") - 1.0).abs() < 0.00001);ﾁ<ぅｳﾀ促ｲｳ ｲ ｳ1B ｳ｣ j ｰ｣ ｹ｣･><･ｴ ｴlｴB ｦ kｩ ┬L凄'k8ｷｷkｲｲ､JｵﾍJｶﾍJｷﾍJｸｶﾍJﾉ byｭ]ｫｫ窶ｫyD4]ｮ､Nc8SkipﾁｬG､ｬGBudmRｿﾍﾆl8 ﾄQﾒ沸ﾅQﾒ悚ｦﾒ8ｵｦﾊF竏5%演kｻｪ-筥B? 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