taylorthurlow · January 29, 2026 17:15 · taylorthurlow · Jan 29, 2026
diff --git a/osrs_barrows_uniques_calc.rb b/osrs_barrows_uniques_calc.rb
 #!/usr/bin/env ruby

 brothers = %i[ahrim karil dharok verac torag guthan]
 categories = %i[helm body legs weapon]
 @items = brothers
  .product(categories)
  .map { |(brother, category)| :"#{brother} #{category}" }
  .sort

 @brothers_killed = 6
 puts "Brother kill count: #{@brothers_killed}"
 @probability_of_unique = 1 / (450 - (58 * @brothers_killed)).to_f
 @roll_fractional_base = (1 / @probability_of_unique).to_i
 puts "Probability of unique: 1 in #{@roll_fractional_base}"

 @roll_for_unique = ->(excluded_items) {
  if rand(1..@roll_fractional_base) == 1
    (@items - excluded_items).sample
  end
 }

 def loot_chest
  chest_loot = []

  (@brothers_killed + 1).times do
    if (roll_loot = @roll_for_unique.call(chest_loot))
      chest_loot << roll_loot
    end
  end

  chest_loot
 end

 run_limit = 100_000
 all_finished_at = {}
 total_runs = 0
 num_uniques_to_stop = @items.count

 loop do # Multiple-sample run loop (experiment)
  kc = 0
  current_items = []
  finished_at = {}

  loop do # Single sample run loop (get all items at least once)
    current_items += loot_chest
    kc += 1

    if (uniques_count = current_items.uniq.count) > 0 && !finished_at[uniques_count]
      finished_at[uniques_count] ||= []
      finished_at[uniques_count] << kc
    end

    break if current_items.uniq.count == num_uniques_to_stop
  end

  total_runs += 1

  all_finished_at.merge!(finished_at) do |key, old_value, new_value|
    old_value + new_value
  end

  if total_runs % 1000 == 0
    puts "After #{total_runs} samples (min/max/avg):"
    all_finished_at.sort.each do |uniques_count, kc_array|
      puts "  #{uniques_count} => #{kc_array.min}/#{kc_array.max}/#{kc_array.sum / kc_array.size}"
    end
  end

  break if total_runs == run_limit
 end
	#!/usr/bin/env ruby

	brothers = %i[ahrim karil dharok verac torag guthan]
	categories = %i[helm body legs weapon]
	@items = brothers
	.product(categories)
	.map { \|(brother, category)\| :"#{brother} #{category}" }
	.sort

	@brothers_killed = 6
	puts "Brother kill count: #{@brothers_killed}"
	@probability_of_unique = 1 / (450 - (58 * @brothers_killed)).to_f
	@roll_fractional_base = (1 / @probability_of_unique).to_i
	puts "Probability of unique: 1 in #{@roll_fractional_base}"

	@roll_for_unique = ->(excluded_items) {
	if rand(1..@roll_fractional_base) == 1
	(@items - excluded_items).sample
	end
	}

	def loot_chest
	chest_loot = []

	(@brothers_killed + 1).times do
	if (roll_loot = @roll_for_unique.call(chest_loot))
	chest_loot << roll_loot
	end
	end

	chest_loot
	end

	run_limit = 100_000
	all_finished_at = {}
	total_runs = 0
	num_uniques_to_stop = @items.count

	loop do # Multiple-sample run loop (experiment)
	kc = 0
	current_items = []
	finished_at = {}

	loop do # Single sample run loop (get all items at least once)
	current_items += loot_chest
	kc += 1

	if (uniques_count = current_items.uniq.count) > 0 && !finished_at[uniques_count]
	finished_at[uniques_count] \|\|= []
	finished_at[uniques_count] << kc
	end

	break if current_items.uniq.count == num_uniques_to_stop
	end

	total_runs += 1

	all_finished_at.merge!(finished_at) do \|key, old_value, new_value\|
	old_value + new_value
	end

	if total_runs % 1000 == 0
	puts "After #{total_runs} samples (min/max/avg):"
	all_finished_at.sort.each do \|uniques_count, kc_array\|
	puts " #{uniques_count} => #{kc_array.min}/#{kc_array.max}/#{kc_array.sum / kc_array.size}"
	end
	end

	break if total_runs == run_limit
	end
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