Sha256: 22d288bb6ffcbfa1679628630c4e59652f5d8b53d798aa69fb6f577f701d5ff6
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# frozen_string_literal: true # Methods that calculate something module AI_calculate def get_list1_and_list2_from(ltable) # create <list1> with all the rows from the table list1 = [] count = 1 ltable.rows.each do |i| list1 << { id: count, weight: 0, data: i } count += 1 end # create a <list2> with similar rows (same table name) from the neighbours tables list2 = [] neighbors.each do |n| n[:concept].tables.each do |t2| next if t2.name != ltable.name t2.rows.each do |i| list2 << { id: count, weight: 0, data: i } count += 1 end end end return list1, list2 end def calculate_nearness_between_texts(text1, text2) return 0.0 if text2.nil? || text2.empty? words = text1.split(' ') count = 0 words.each { |w| count += 1 if text2.include?(w) } (count * 100 / words.count) end def reorder_list_with_row(list, row) # evaluate every row of the list2 list.each do |r| if r[:id] == row[:id] r[:weight] = -300 else val = 0 s = row[:data].count s.times do |i| val += calculate_nearness_between_texts(row[:data][i], r[:data][i]) end val /= s r[:weight] = val end end list.sort! { |a, b| a[:weight] <=> b[:weight] } list.reverse! end end
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5 entries across 5 versions & 1 rubygems