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searchIndex["strsim"] = {"doc":"This library implements string similarity metrics. Currently includes\nHamming, Levenshtein, Jaro, and Jaro-Winkler.","items":[[4,"StrSimError","strsim","",null,null],[13,"DifferentLengthArgs","","",0,null],[5,"hamming","","Calculates the number of positions in the two strings where the characters\ndiffer. Returns an error if the strings have different lengths.",null,{"inputs":[{"name":"str"},{"name":"str"}],"output":{"name":"hammingresult"}}],[5,"jaro","","Calculates the Jaro similarity between two strings. The returned value\nis between 0.0 and 1.0 (higher value means more similar).",null,{"inputs":[{"name":"str"},{"name":"str"}],"output":{"name":"f64"}}],[5,"jaro_against_vec","","Calculates the Jaro distance between a string and each string in a vector.\nReturns a vector of corresponding values between 0.0 and 1.0 (higher value\nmeans more similar).",null,{"inputs":[{"name":"str"},{"name":"vec"}],"output":{"name":"vec"}}],[5,"jaro_winkler","","Like Jaro but gives a boost to strings that have a common prefix.",null,{"inputs":[{"name":"str"},{"name":"str"}],"output":{"name":"f64"}}],[5,"jaro_winkler_against_vec","","Calculates the Jaro-Winkler distances between a string and each string\nin a vector. Returns a vector of corresponding values.",null,{"inputs":[{"name":"str"},{"name":"vec"}],"output":{"name":"vec"}}],[5,"levenshtein","","Calculates the minimum number of insertions, deletions, and substitutions\nrequired to change one string into the other.",null,{"inputs":[{"name":"str"},{"name":"str"}],"output":{"name":"usize"}}],[5,"levenshtein_against_vec","","Calculates the Levenshtein distance between a string and each string in a\nvector. Returns a vector of corresponding values.",null,{"inputs":[{"name":"str"},{"name":"vec"}],"output":{"name":"vec"}}],[5,"damerau_levenshtein","","Same as Levenshtein but allows for adjacent transpositions.",null,{"inputs":[{"name":"str"},{"name":"str"}],"output":{"name":"usize"}}],[5,"damerau_levenshtein_against_vec","","Calculates the Damerau-Levenshtein distance between a string and each string\nin a vector. Returns a vector of corresponding values.",null,{"inputs":[{"name":"str"},{"name":"vec"}],"output":{"name":"vec"}}],[6,"HammingResult","","",null,null],[11,"eq","","",0,null],[11,"fmt","","",0,null]],"paths":[[4,"StrSimError"]]};
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