class RTree
def self.load(objects, &bounds)
def self.load(objects, &bounds) load! objects.map(&bounds).zip(objects) end
def self.load!(bounds_objects, range = 0...bounds_objects.length)
def self.load!(bounds_objects, range = 0...bounds_objects.length) return RTree.new([], *bounds_objects[range.begin]) if range.one? bounds_objects.median_partition!(range) do |bounds, object| bounds[0].sum end.flat_map do |range| bounds_objects.median_partition!(range) do |bounds, object| bounds[1].sum end end.filter_map do |range| load!(bounds_objects, range) if range.any? end.then do |nodes| RTree.new nodes, nodes.map(&:bounds).transpose.map(&:flatten).map(&:minmax) end end
def each(&block)
def each(&block) @nodes.each do |node| node.each(&block) end yield @bounds, @object if @object end
def initialize(nodes, bounds, object = nil)
def initialize(nodes, bounds, object = nil) @nodes, @bounds, @object = nodes, bounds, object end
def overlaps?(bounds, buffer)
def overlaps?(bounds, buffer) return false if @bounds.empty? return true unless bounds bounds.zip(@bounds).all? do |(min1, max1), (min2, max2)| max1 + buffer >= min2 && max2 + buffer >= min1 end end
def search(bounds, buffer = 0)
def search(bounds, buffer = 0) Enumerator.new do |yielder| if overlaps? bounds, buffer @nodes.each do |node| node.search(bounds, buffer).each(&yielder) end yielder << @object if @nodes.empty? end end end