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git-svn-id: svn+ssh://ci.ruby-lang.org/ruby/trunk@43340 b2dd03c8-39d4-4d8f-98ff-823fe69b080e
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lib/tsort.rb
100
lib/tsort.rb
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@ -123,20 +123,33 @@ module TSort
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class Cyclic < StandardError
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end
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#
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# Returns a topologically sorted array of nodes.
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# The array is sorted from children to parents, i.e.
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# the first element has no child and the last node has no parent.
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#
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# If there is a cycle, TSort::Cyclic is raised.
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#
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# class G
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# include TSort
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# def initialize(g)
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# @g = g
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# end
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# def tsort_each_child(n, &b) @g[n].each(&b) end
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# def tsort_each_node(&b) @g.each_key(&b) end
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# end
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#
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# graph = G.new({1=>[2, 3], 2=>[4], 3=>[2, 4], 4=>[]})
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# p graph.tsort #=> [4, 2, 3, 1]
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#
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# graph = G.new({1=>[2], 2=>[3, 4], 3=>[2], 4=>[]})
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# p graph.tsort # raises TSort::Cyclic
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#
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def tsort
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result = []
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tsort_each {|element| result << element}
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result
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end
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#
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# The iterator version of the #tsort method.
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# <tt><em>obj</em>.tsort_each</tt> is similar to <tt><em>obj</em>.tsort.each</tt>, but
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# modification of _obj_ during the iteration may lead to unexpected results.
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@ -144,6 +157,22 @@ module TSort
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# #tsort_each returns +nil+.
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# If there is a cycle, TSort::Cyclic is raised.
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#
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# class G
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# include TSort
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# def initialize(g)
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# @g = g
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# end
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# def tsort_each_child(n, &b) @g[n].each(&b) end
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# def tsort_each_node(&b) @g.each_key(&b) end
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# end
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#
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# graph = G.new({1=>[2, 3], 2=>[4], 3=>[2, 4], 4=>[]})
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# graph.tsort_each {|n| p n }
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# #=> 4
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# # 2
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# # 3
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# # 1
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#
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def tsort_each # :yields: node
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each_strongly_connected_component {|component|
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if component.size == 1
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@ -154,26 +183,60 @@ module TSort
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}
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end
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#
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# Returns strongly connected components as an array of arrays of nodes.
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# The array is sorted from children to parents.
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# Each elements of the array represents a strongly connected component.
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#
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# class G
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# include TSort
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# def initialize(g)
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# @g = g
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# end
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# def tsort_each_child(n, &b) @g[n].each(&b) end
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# def tsort_each_node(&b) @g.each_key(&b) end
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# end
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#
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# graph = G.new({1=>[2, 3], 2=>[4], 3=>[2, 4], 4=>[]})
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# p graph.strongly_connected_components #=> [[4], [2], [3], [1]]
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#
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# graph = G.new({1=>[2], 2=>[3, 4], 3=>[2], 4=>[]})
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# p graph.strongly_connected_components #=> [[4], [2, 3], [1]]
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#
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def strongly_connected_components
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result = []
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each_strongly_connected_component {|component| result << component}
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result
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end
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#
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# The iterator version of the #strongly_connected_components method.
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# <tt><em>obj</em>.each_strongly_connected_component</tt> is similar to
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# <tt><em>obj</em>.strongly_connected_components.each</tt>, but
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# modification of _obj_ during the iteration may lead to unexpected results.
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#
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#
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# #each_strongly_connected_component returns +nil+.
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#
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# class G
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# include TSort
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# def initialize(g)
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# @g = g
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# end
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# def tsort_each_child(n, &b) @g[n].each(&b) end
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# def tsort_each_node(&b) @g.each_key(&b) end
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# end
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#
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# graph = G.new({1=>[2, 3], 2=>[4], 3=>[2, 4], 4=>[]})
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# graph.each_strongly_connected_component {|scc| p scc }
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# #=> [4]
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# # [2]
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# # [3]
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# # [1]
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#
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# graph = G.new({1=>[2], 2=>[3, 4], 3=>[2], 4=>[]})
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# graph.each_strongly_connected_component {|scc| p scc }
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# #=> [4]
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# # [2, 3]
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# # [1]
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#
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def each_strongly_connected_component # :yields: nodes
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id_map = {}
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stack = []
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@ -187,7 +250,6 @@ module TSort
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nil
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end
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#
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# Iterates over strongly connected component in the subgraph reachable from
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# _node_.
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#
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@ -195,6 +257,25 @@ module TSort
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#
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# #each_strongly_connected_component_from doesn't call #tsort_each_node.
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#
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# class G
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# include TSort
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# def initialize(g)
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# @g = g
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# end
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# def tsort_each_child(n, &b) @g[n].each(&b) end
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# def tsort_each_node(&b) @g.each_key(&b) end
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# end
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#
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# graph = G.new({1=>[2, 3], 2=>[4], 3=>[2, 4], 4=>[]})
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# graph.each_strongly_connected_component_from(2) {|scc| p scc }
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# #=> [4]
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# # [2]
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#
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# graph = G.new({1=>[2], 2=>[3, 4], 3=>[2], 4=>[]})
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# graph.each_strongly_connected_component_from(2) {|scc| p scc }
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# #=> [4]
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# # [2, 3]
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#
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def each_strongly_connected_component_from(node, id_map={}, stack=[], &block) # :yields: nodes
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TSort.each_strongly_connected_component_from(node, method(:tsort_each_child), id_map, stack, &block)
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end
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@ -214,8 +295,11 @@ module TSort
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# graph = {1=>[2], 2=>[3, 4], 3=>[2], 4=>[]}
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# each_child = lambda {|n, &b| graph[n].each(&b) }
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# TSort.each_strongly_connected_component_from(1, each_child) {|scc|
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# p scc #=> [4], [2, 3], [1]
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# p scc
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# }
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# #=> [4]
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# # [2, 3]
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# # [1]
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#
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def TSort.each_strongly_connected_component_from(node, each_child, id_map={}, stack=[]) # :yields: nodes
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minimum_id = node_id = id_map[node] = id_map.size
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@ -244,7 +328,6 @@ module TSort
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minimum_id
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end
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#
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# Should be implemented by a extended class.
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#
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# #tsort_each_node is used to iterate for all nodes over a graph.
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@ -253,7 +336,6 @@ module TSort
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raise NotImplementedError.new
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end
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#
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# Should be implemented by a extended class.
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#
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# #tsort_each_child is used to iterate for child nodes of _node_.
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