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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  .  /1B    !!  .,/,6,;,PP6dPP;d6;   ./6;55 l% $$""# % :JcF(> :JcF(>#%  B vB"" # %<%""%3 ' ('()*+PPP+%%L&$&&&l&D&&&yD4]Nc &$L&PB&& +  @)$'JG Calculates the Jaro similarity between two strings. The returned value'=(<(( use strsim::jaro;((MJ assert!((0.392 - jaro("Friedrich Nietzsche", "Jean-Paul Sartre")).abs() <( 0.001);<)$)  1B ) , ) )*)GD Like Jaro but gives a boost to sequences that have a common prefix.*1B . /012 3.3/120 ,*,*,*,*Ժ+d++d+, -  ./6;tF}F**z|--4444-0,.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]));<33B 7 89:; <97<8:; ,3,3,3,3ԩ4d44d44 6  ./6;UU33z|;-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);<@@  1B @ > @ 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);<  1B  j  >< lB  k L'k8kJJJJJ by]yD4]Nc8SkipGGBudmR͇l8 Q҈앦Q҈҈8ʈF5%k-B? 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