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Direktori : /proc/thread-self/root/opt/alt/ruby27/share/ruby/did_you_mean/ |
Current File : //proc/thread-self/root/opt/alt/ruby27/share/ruby/did_you_mean/levenshtein.rb |
module DidYouMean module Levenshtein # :nodoc: # 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 distance(str1, str2) n = str1.length m = str2.length return m if n.zero? return n if m.zero? d = (0..m).to_a x = nil # to avoid duplicating an enumerable object, create it outside of the loop str2_codepoints = str2.codepoints str1.each_codepoint.with_index(1) do |char1, i| j = 0 while j < m cost = (char1 == str2_codepoints[j]) ? 0 : 1 x = min3( d[j+1] + 1, # insertion i + 1, # deletion d[j] + cost # substitution ) d[j] = i i = x j += 1 end d[m] = x end x end module_function :distance private # detects the minimum value out of three arguments. This method is # faster than `[a, b, c].min` and puts less GC pressure. # See https://github.com/ruby/did_you_mean/pull/1 for a performance # benchmark. def min3(a, b, c) if a < b && a < c a elsif b < c b else c end end module_function :min3 end end