Created
May 1, 2015 17:52
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# Exercise Hash and Set (which is also Hash) insertion and lookup performance. | |
# Creates a graph with an adjacency map. Finds the connected subgraph from a | |
# root node, using an Array work list and a visited Set. | |
require 'set' | |
size = 100_000 | |
class Node | |
end | |
nodes = [] | |
size.times do | |
nodes << Node.new | |
end | |
adjacency = {} | |
nodes.each do |node| | |
adjacency[node] = nodes.sample(3) | |
end | |
def connected(adjacency, root_node) | |
visited = Set.new | |
to_visit = [root_node] | |
while node = to_visit.shift | |
unless visited.member? node | |
visited.add node | |
to_visit.concat adjacency[node].to_a | |
end | |
end | |
visited | |
end | |
root_node = nodes.sample | |
loop do | |
start = Time.now | |
connected(adjacency, root_node) | |
puts Time.now - start | |
end |
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