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4e7d59687a
@ -11,7 +11,6 @@ module Tables
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end
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def calculate
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# Rails.logger.info "Calculating discomfort of table with id #{table.object_id}"
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breakdown.values.sum
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end
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@ -14,18 +14,17 @@ module Tables
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attr_accessor :tables, :min_per_table, :max_per_table, :hierarchy
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def initialize(min_per_table:, max_per_table:, hierarchy: AffinityGroupsHierarchy.new)
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def initialize(min_per_table:, max_per_table:)
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@min_per_table = min_per_table
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@max_per_table = max_per_table
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@hierarchy = hierarchy
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@hierarchy = AffinityGroupsHierarchy.new
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@tables = []
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end
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def random_distribution(people, random: Random.new)
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def random_distribution(people)
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min_tables = (people.count * 1.0 / @max_per_table).ceil
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max_tables = (people.count * 1.0 / @min_per_table).ceil
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table_size = random.rand(min_tables..max_tables)
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@tables = people.in_groups(table_size, false)
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@tables = people.in_groups(rand(min_tables..max_tables), false)
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.map { |group| Table.new(group) }
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.each { |table| table.min_per_table = @min_per_table }
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.each { |table| table.max_per_table = @max_per_table }
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@ -42,8 +41,7 @@ module Tables
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end
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def deep_dup
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self.class.new(min_per_table: @min_per_table, max_per_table: @max_per_table,
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hierarchy: @hierarchy).tap do |new_distribution|
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self.class.new(min_per_table: @min_per_table, max_per_table: @max_per_table).tap do |new_distribution|
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new_distribution.tables = @tables.map(&:dup)
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end
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end
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@ -73,8 +71,6 @@ module Tables
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def local_discomfort(table)
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table.discomfort ||= DiscomfortCalculator.new(table:, hierarchy:).calculate
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table.freeze
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table.discomfort
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end
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end
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end
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@ -12,37 +12,19 @@ module Tables
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def each
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@initial_solution.tables.permutation(2) do |table_a, table_b|
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table_a.dup.each do |person|
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original_discomfort_a = table_a.reset
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original_discomfort_b = table_b.reset
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new_solution = Distribution.new(
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min_per_table: @initial_solution.min_per_table,
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max_per_table: @initial_solution.max_per_table,
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hierarchy: @initial_solution.hierarchy
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)
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table_a.delete(person)
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table_b << person
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new_solution.tables = @initial_solution.tables.dup
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yield(@initial_solution)
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ensure
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table_b.delete(person)
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table_a << person
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new_solution.tables.delete(table_a)
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new_solution.tables.delete(table_b)
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modified_table_a = table_a.dup.tap(&:reset)
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modified_table_b = table_b.dup.tap(&:reset)
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new_solution.tables << modified_table_a
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new_solution.tables << modified_table_b
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# original_discomfort_a = table_a.reset
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# original_discomfort_b = table_b.reset
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modified_table_a.delete(person)
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modified_table_b << person
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yield(new_solution)
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# ensure
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# table_b.delete(person)
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# table_a << person
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# table_a.discomfort = original_discomfort_a
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# table_b.discomfort = original_discomfort_b
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table_a.discomfort = original_discomfort_a
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table_b.discomfort = original_discomfort_b
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end
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end
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end
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@ -12,45 +12,25 @@ module Tables
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def each
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@initial_solution.tables.combination(2) do |table_a, table_b|
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table_a.to_a.product(table_b.to_a).each do |(person_a, person_b)|
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original_discomfort_a = table_a.reset
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original_discomfort_b = table_b.reset
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new_solution = Distribution.new(
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min_per_table: @initial_solution.min_per_table,
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max_per_table: @initial_solution.max_per_table,
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hierarchy: @initial_solution.hierarchy
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)
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table_a.delete(person_a)
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table_b.delete(person_b)
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new_solution.tables = @initial_solution.tables.dup
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table_a << person_b
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table_b << person_a
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new_solution.tables.delete(table_a)
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new_solution.tables.delete(table_b)
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yield(@initial_solution)
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ensure
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table_a.delete(person_b)
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table_b.delete(person_a)
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table_a << person_a
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table_b << person_b
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modified_table_a = table_a.dup.tap(&:reset)
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modified_table_b = table_b.dup.tap(&:reset)
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new_solution.tables << modified_table_a
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new_solution.tables << modified_table_b
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# original_discomfort_a = table_a.reset
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# original_discomfort_b = table_b.reset
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modified_table_a.delete(person_a)
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modified_table_b.delete(person_b)
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modified_table_a << person_b
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modified_table_b << person_a
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yield(new_solution)
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# ensure
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# table_a.delete(person_b)
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# table_b.delete(person_a)
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# table_a << person_a
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# table_b << person_b
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# table_a.discomfort = original_discomfort_a
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# table_b.discomfort = original_discomfort_b
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table_a.discomfort = original_discomfort_a
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table_b.discomfort = original_discomfort_b
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end
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end
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end
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@ -20,16 +20,7 @@ module VNS
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@perturbations << klass
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end
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def initialize_ractors(count: Concurrent.processor_count)
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@ractors = count.times.map do |i|
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Ractor.new(name: "VNS Ractor #{i}") do
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# @target_function.call(Ractor.receive)
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Ractor.receive.discomfort # Hard-coded for now, should be dynamic
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end
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end.cycle
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end
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attr_writer :initial_solution, :ractors
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attr_writer :initial_solution
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def run
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raise 'No target function defined' unless @target_function
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@ -39,10 +30,6 @@ module VNS
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@best_solution = @initial_solution
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@best_score = @target_function.call(@best_solution)
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@best_solution.freeze
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@best_solution.tables.freeze
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# @best_solution.tables.each(&:freeze)
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self.class.sequence(@perturbations).each do |perturbation|
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optimize(perturbation)
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end
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@ -57,27 +44,9 @@ module VNS
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optimized = false
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perturbation_klass.new(@best_solution).each do |alternative_solution|
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# original_score =
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# ractor = @ractors.next
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# Rails.logger.info("Processed by ractor #{ractor.name}")
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# ractor.send(alternative_solution)
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# new_score = ractor.take
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# binding.pry if new_score != original_score
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# score = new_score
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score = @target_function.call(alternative_solution)
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# Rails.logger.info("Evaluating alternative solution with score: #{score}")
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next if score >= @best_score
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# Rails.logger.info("Found better solution with score: #{score} (previous: #{@best_score})")
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@best_solution = alternative_solution.deep_dup
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@best_score = score
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optimized = true
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@ -1,29 +0,0 @@
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# frozen_string_literal: true
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namespace :vns do
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desc 'Benchmarks the efficiency of the VNS implementation'
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task benchmark: :environment do
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ActsAsTenant.with_tenant(Wedding.first) do
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Rails.logger.info "There are #{Guest.potential.count} potential guests"
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engine = VNS::Engine.new
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engine.add_perturbation(Tables::Swap)
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engine.add_perturbation(Tables::Shift)
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hierarchy = AffinityGroupsHierarchy.new
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initial_solution = Tables::Distribution.new(min_per_table: 8, max_per_table: 10, hierarchy:)
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random = Random.new(561_163)
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initial_solution.random_distribution(Guest.potential.shuffle(random:), random:)
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engine.initial_solution = initial_solution
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engine.target_function(&:discomfort)
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solution = Rails.benchmark('VNS Benchmarking') { engine.run }
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Rails.logger.info "Best solution found with discomfort: #{solution.discomfort}"
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end
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end
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end
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