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# frozen_string_literal: true module Rails module Command module Spellchecker # :nodoc: class << self def suggest(word, from:) if defined?(DidYouMean::SpellChecker) DidYouMean::SpellChecker.new(dictionary: from.map(&:to_s)).correct(word).first else from.sort_by { |w| levenshtein_distance(word, w) }.first end end private # This code is based directly on the Text gem implementation. # Copyright (c) 2006-2013 Paul Battley, Michael Neumann, Tim Fletcher. # # Returns a value representing the "cost" of transforming str1 into str2. def levenshtein_distance(str1, str2) # :doc: s = str1 t = str2 n = s.length m = t.length return m if 0 == n return n if 0 == m d = (0..m).to_a x = nil # avoid duplicating an enumerable object in the loop str2_codepoint_enumerable = str2.each_codepoint str1.each_codepoint.with_index do |char1, i| e = i + 1 str2_codepoint_enumerable.with_index do |char2, j| cost = (char1 == char2) ? 0 : 1 x = [ d[j + 1] + 1, # insertion e + 1, # deletion d[j] + cost # substitution ].min d[j] = e e = x end d[m] = x end x end end end end end
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59 entries across 59 versions & 4 rubygems