带有一个哈希,我有一个“工作”列表,每个工作都有一个ID和一个Parent。有父项的作业要等到其父项才能执行。我将如何检测依赖关系的循环?
数据集如下所示:
jobs = [
{:id => 1, :title => "a", :pid => nil},
{:id => 2, :title => "b", :pid => 3},
{:id => 3, :title => "c", :pid => 6},
{:id => 4, :title => "d", :pid => 1},
{:id => 5, :title => "e", :pid => nil},
{:id => 6, :title => "f", :pid => 2},
]
因此,“ id”的顺序为: 1> 2> 3> 6> 2> 3> 6 ....等等
答案 0 :(得分:3)
这称为“拓扑排序”,而Ruby拥有built in。当父母认识自己的孩子时,它比父母认识孩子时更有效。这是效率低下的版本;您可以通过重写数据结构来加快速度(将其改写为包含:children
而不是:pid
的哈希,这样tsort_each_child
可以直接进入node[:children].each
而不用过滤整个数组)。
由于TSort
被设计为可混合使用,因此我们需要为数据创建一个新类(或替代性地对Array
进行污染)。 #tsort
将产生一个从孩子到父母的排序列表;由于您希望父母先于孩子,因此我们可以#reverse
得出结果。
require 'tsort'
class TSArray < Array
include TSort
alias tsort_each_node each
def tsort_each_child(node)
each { |child| yield child if child[:pid] == node[:id] }
end
end
begin
p TSArray.new(jobs).tsort.reverse
rescue TSort::Cyclic
puts "Nope."
end
答案 1 :(得分:0)
用于检测有向图中的循环的各种算法是为任意有向图设计的。此处描绘的图形要简单得多,因为每个孩子最多只有一个父母。这样可以轻松确定是否存在周期,可以很快完成。
我将问题解释为,如果存在一个周期,则您希望返回一个周期,而不仅仅是确定是否存在一个周期。
代码
require 'set'
def cycle_present?(arr)
kids_to_parent = arr.each_with_object({}) { |g,h| h[g[:id]] = g[:pid] }
kids = kids_to_parent.keys
while kids.any?
kid = kids.first
visited = [kid].to_set
loop do
parent = kids_to_parent[kid]
break if parent.nil? || !kids.include?(parent)
return construct_cycle(parent, kids_to_parent) unless visited.add?(parent)
kid = parent
end
kids -= visited.to_a
end
false
end
def construct_cycle(parent, kids_to_parent)
arr = [parent]
loop do
parent = kids_to_parent[parent]
arr << parent
break arr if arr.first == parent
end
end
示例
cycle_present?(jobs)
#=> [2, 3, 6, 2]
arr = [{:id=>1, :title=>"a", :pid=>nil},
{:id=>2, :title=>"b", :pid=>1},
{:id=>3, :title=>"c", :pid=>1},
{:id=>4, :title=>"d", :pid=>2},
{:id=>5, :title=>"e", :pid=>2},
{:id=>6, :title=>"f", :pid=>3}]
cycle_present?(arr)
#=> false
说明
这是带有注释和puts
语句的方法。
def cycle_present?(arr)
kids_to_parent = arr.each_with_object({}) { |g,h| h[g[:id]] = g[:pid] }
puts "kids_to_parent = #{kids_to_parent}" #!!
# kids are nodes that may be on a cycle
kids = kids_to_parent.keys
puts "kids = #{kids}" #!!
while kids.any?
# select a kid
kid = kids.first
puts "\nkid = #{kid}" #!!
# construct a set initially containing kid
visited = [kid].to_set
puts "visited = #{visited}" #!!
puts "enter loop do" #!!
loop do
# determine kid's parent, if has one
parent = kids_to_parent[kid]
puts " parent = #{parent}" #!!
if parent.nil? #!!
puts " parent.nil? = true, so break" #!!
elsif !kids.include?(parent)
puts " kids.include?(parent) #=> false, parent has been excluded" #!!
end #!!
# if the kid has no parent or the parent has already been removed
# from kids we can break and eliminate all kids in visited
break if parent.nil? || !kids.include?(parent)
# try to add parent to set of visited nodes; if can't we have
# discovered a cycle and are finished
puts " visited.add?(parent) = #{!visited.include?(parent)}" #!!
puts " return construct_cycle(parent, kids_to_parent)" if
visited.include?(parent) #!!
return construct_cycle(parent, kids_to_parent) unless visited.add?(parent)
puts " now visited = #{visited}" #!!
# the new kid is the parent of the former kid
puts " set kid = #{parent}" #!!
kid = parent
end
# we found a kid with no parent, or a parent who has already
# been removed from kids, so remove all visited nodes
puts "after loop, set kids = #{kids - visited.to_a}" #!!
kids -= visited.to_a
end
puts "after while loop, return false" #!!
false
end
def construct_cycle(parent, kids_to_parent)
puts
arr = [parent]
loop do
parent = kids_to_parent[parent]
puts "arr = #{arr}, parent = #{parent} #!!
arr << parent
break arr if arr.first == parent
end
end
cycle_present?(jobs)
显示以下内容:
kid = 1
visited = #<Set: {1}>
enter loop do
parent =
parent.nil? = true, so break
after loop, set kids = [2, 3, 4, 5, 6]
kid = 2
visited = #<Set: {2}>
enter loop do
parent = 3
visited.add?(parent) = true
now visited = #<Set: {2, 3}>
set kid = 3
parent = 6
visited.add?(parent) = true
now visited = #<Set: {2, 3, 6}>
set kid = 6
parent = 2
visited.add?(parent) = false
return construct_cycle(parent, kids_to_parent)
arr=[2], parent = 3
arr=[2, 3], parent = 6
arr=[2, 3, 6], parent = 2
#=> [2, 3, 6, 2]