Class: MOSAIK::Graph::Statistics

Inherits:
Object
  • Object
show all
Defined in:
lib/mosaik/graph/statistics.rb

Overview

Compute statistics

Instance Attribute Summary collapse

Instance Method Summary collapse

Constructor Details

#initialize(options, graph) ⇒ Statistics

Returns a new instance of Statistics.



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# File 'lib/mosaik/graph/statistics.rb', line 13

def initialize(options, graph)
  @options = options
  @graph = graph
end

Instance Attribute Details

#graphObject (readonly)

Returns the value of attribute graph.



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# File 'lib/mosaik/graph/statistics.rb', line 11

def graph
  @graph
end

#optionsObject (readonly)

Returns the value of attribute options.



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# File 'lib/mosaik/graph/statistics.rb', line 11

def options
  @options
end

Instance Method Details

#callObject



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# File 'lib/mosaik/graph/statistics.rb', line 18

def call
  # Compute metric statistics
  metrics = options[:metrics].to_h do |metric|
    values = graph.clusters.each_value.map { |cluster| cluster.attributes[metric] }

    # Drop zero values
    values = values.reject { |v| v.nil? || v.zero? }

    mean = values.any? ? (values.sum.to_f / values.size) : 0.0
    variance = values.any? ? (values.sum { |v| (v - mean)**2 } / values.size) : 0.0

    statistics = {
      min: values.min || 0.0,
      max: values.max || 0.0,
      mean:,
      variance:,
      stdev: Math.sqrt(variance),
      q1: percentile(values, 25) || 0.0,
      q2: percentile(values, 50) || 0.0,
      q3: percentile(values, 75) || 0.0,
    }

    debug "Statistics for #{metric}: #{statistics.map { |k, v| "#{k} = #{v&.round(2)}" }.join(', ')}"

    [metric, statistics]
  end

  # Compute cluster statistics
  mean = graph.clusters.values.any? ? (graph.clusters.values.sum { |cluster| cluster.vertices.size }.to_f / graph.clusters.size) : 0.0
  variance = graph.clusters.values.any? ? (graph.clusters.values.sum { |cluster| (cluster.vertices.size - mean)**2 } / graph.clusters.size) : 0.0

  metrics[:clusters] = {
    count: graph.clusters.size,
    min: graph.clusters.values.map { |cluster| cluster.vertices.size }.min,
    max: graph.clusters.values.map { |cluster| cluster.vertices.size }.max,
    mean:,
    variance:,
    stdev: Math.sqrt(variance),
    size: graph.clusters.values.map { |cluster| cluster.vertices.size }.sort,
  }

  # Return statistics
  metrics.deep_stringify_keys
end