Module: TraceVisualization::RepetitionsScore

Defined in:
lib/trace_visualization/repetitions_score.rb

Constant Summary collapse

ALPHA_SCORE =

Priority length when repetition score is calculated

0.5
BETA_SCORE =

Priority positions.size when repetition score is calculated

1 - ALPHA_SCORE

Class Method Summary collapse

Class Method Details

.fill_score(rs, options = {}) ⇒ Object

Options: sort true / false order order for sort (default ‘asc’) version version of importance function



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# File 'lib/trace_visualization/repetitions_score.rb', line 14

def self.fill_score(rs, options = {})

  opts = {
      :sort => false,
      :order => 'asc'
  }.merge options

  case opts[:version]
    when 'relative'
      function_relative(rs)
    when 'linear'
      function_linear(rs)
    else
      throw Exception.new("Unknown version")
  end

  if opts[:sort]
    rs.sort! do |a, b|
      opts[:order] == 'desc' ? b.score <=> a.score : a.score <=> b.score
    end
  end
end

.function_linear(rs) ⇒ Object

f(len, size, k) = alpha * len + beta * size + gamma * k



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# File 'lib/trace_visualization/repetitions_score.rb', line 57

def self.function_linear(rs)
  len_max, len_min, size_max, size_min, k_max = 0, 2**32, 0, 2**32, 0

  rs.each do |r|
    len = r.length
    len_max = len if len > len_max
    len_min = len if len < len_min

    size = r.positions_size
    size_max = size if size > size_max
    size_min = size if size < size_min

    k_max = r.k if r.k > k_max
  end

  d = (len_max * size_min + size_max * k_max - size_max * len_min - len_max * k_max).to_f

  alpha =  (size_min + k_max * (size_max - 1)) / d
  beta  = - (len_min + k_max * (len_max - 1)) / d
  gamma = (len_max * size_min - size_max * len_min - size_min + len_min) / d

  puts "len_max = #{len_max}, len_min = #{len_min}, size_max = #{size_max}, size_min = #{size_min}, k_max = #{k_max}"
  puts "alpha = #{alpha}, beta = #{beta}, gamma = #{gamma}"

  rs.each do |r|
    r.score = alpha * r.length + beta * r.positions_size + gamma * r.k
  end
end

.function_relative(rs) ⇒ Object

f(len, size) = alpha * len’ + beta * size’ len’, size’ - relative to max values



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# File 'lib/trace_visualization/repetitions_score.rb', line 39

def self.function_relative(rs)
  len_max, size_max = 0, 0

  rs.each do |r|
    len = r.length
    len_max = len if len > len_max

    size = r.positions_size
    size_max = size if size > size_max
  end

  rs.each do |r|
    r.score = ALPHA_SCORE * r.strict_length / len_max +
        BETA_SCORE * r.positions_size / size_max
  end
end