£Á°èZ¨Ä…–K§‚«“ô4“ÒÙ´dîfUÙÃÅ WKbyʦ•êŽ…È®FÒ¿ÊÎóCozá¬S@6{Í:›œêZÌ:Š•_%:¢¾¾~;‘Ã~芩ÊǍí`ÔÑ©ú뙵'5I¿fš×WO%ø9¾«¾DK|€ùÍD”Ýs]nHÕ¶êםӼ㞪éUWŸÈË%DÒÕ¬ï‘]/Åcx ‰ï2ß]ä6G[]S£Ôϯrs{úëóµmÒï#UQxo·õÞCe]"±/aÙ&Eã4ú9Jé_ÞåëdãöKë)AÞ ¯¹ægƒÛowЍø^d™ý½ßB7áyMä9ÜÖUã !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! # frozen-string-literal: true require_relative "levenshtein" require_relative "jaro_winkler" module DidYouMean class SpellChecker def initialize(dictionary:) @dictionary = dictionary end def correct(input) normalized_input = normalize(input) threshold = normalized_input.length > 3 ? 0.834 : 0.77 words = @dictionary.select { |word| JaroWinkler.distance(normalize(word), normalized_input) >= threshold } words.reject! { |word| input.to_s == word.to_s } words.sort_by! { |word| JaroWinkler.distance(word.to_s, normalized_input) } words.reverse! # Correct mistypes threshold = (normalized_input.length * 0.25).ceil corrections = words.select { |c| Levenshtein.distance(normalize(c), normalized_input) <= threshold } # Correct misspells if corrections.empty? corrections = words.select do |word| word = normalize(word) length = normalized_input.length < word.length ? normalized_input.length : word.length Levenshtein.distance(word, normalized_input) < length end.first(1) end corrections end private def normalize(str_or_symbol) #:nodoc: str = str_or_symbol.to_s.downcase str.tr!("@", "") str end end end