diff options
Diffstat (limited to 'lib/bundler/vendor/tsort/lib/tsort.rb')
| -rw-r--r-- | lib/bundler/vendor/tsort/lib/tsort.rb | 640 |
1 files changed, 321 insertions, 319 deletions
diff --git a/lib/bundler/vendor/tsort/lib/tsort.rb b/lib/bundler/vendor/tsort/lib/tsort.rb index 8454583295..cf8731f760 100644 --- a/lib/bundler/vendor/tsort/lib/tsort.rb +++ b/lib/bundler/vendor/tsort/lib/tsort.rb @@ -6,24 +6,24 @@ # # -# TSort implements topological sorting using Tarjan's algorithm for +# Bundler::TSort implements topological sorting using Tarjan's algorithm for # strongly connected components. # -# TSort is designed to be able to be used with any object which can be +# Bundler::TSort is designed to be able to be used with any object which can be # interpreted as a directed graph. # -# TSort requires two methods to interpret an object as a graph, +# Bundler::TSort requires two methods to interpret an object as a graph, # tsort_each_node and tsort_each_child. # # * tsort_each_node is used to iterate for all nodes over a graph. # * tsort_each_child is used to iterate for child nodes of a given node. # # The equality of nodes are defined by eql? and hash since -# TSort uses Hash internally. +# Bundler::TSort uses Hash internally. # # == A Simple Example # -# The following example demonstrates how to mix the TSort module into an +# The following example demonstrates how to mix the Bundler::TSort module into an # existing class (in this case, Hash). Here, we're treating each key in # the hash as a node in the graph, and so we simply alias the required # #tsort_each_node method to Hash's #each_key method. For each key in the @@ -32,10 +32,10 @@ # method, which fetches the array of child nodes and then iterates over that # array using the user-supplied block. # -# require 'tsort' +# require 'bundler/vendor/tsort/lib/tsort' # # class Hash -# include TSort +# include Bundler::TSort # alias tsort_each_node each_key # def tsort_each_child(node, &block) # fetch(node).each(&block) @@ -52,7 +52,7 @@ # # A very simple `make' like tool can be implemented as follows: # -# require 'tsort' +# require 'bundler/vendor/tsort/lib/tsort' # # class Make # def initialize @@ -70,7 +70,7 @@ # each_strongly_connected_component_from(target) {|ns| # if ns.length != 1 # fs = ns.delete_if {|n| Array === n} -# raise TSort::Cyclic.new("cyclic dependencies: #{fs.join ', '}") +# raise Bundler::TSort::Cyclic.new("cyclic dependencies: #{fs.join ', '}") # end # n = ns.first # if Array === n @@ -93,7 +93,7 @@ # def tsort_each_child(node, &block) # @dep[node].each(&block) # end -# include TSort +# include Bundler::TSort # end # # def command(arg) @@ -120,334 +120,336 @@ # R. E. Tarjan, "Depth First Search and Linear Graph Algorithms", # <em>SIAM Journal on Computing</em>, Vol. 1, No. 2, pp. 146-160, June 1972. # -module Bundler - module TSort - class Cyclic < StandardError - end - # Returns a topologically sorted array of nodes. - # The array is sorted from children to parents, i.e. - # the first element has no child and the last node has no parent. - # - # If there is a cycle, TSort::Cyclic is raised. - # - # class G - # include TSort - # def initialize(g) - # @g = g - # end - # def tsort_each_child(n, &b) @g[n].each(&b) end - # def tsort_each_node(&b) @g.each_key(&b) end - # end - # - # graph = G.new({1=>[2, 3], 2=>[4], 3=>[2, 4], 4=>[]}) - # p graph.tsort #=> [4, 2, 3, 1] - # - # graph = G.new({1=>[2], 2=>[3, 4], 3=>[2], 4=>[]}) - # p graph.tsort # raises TSort::Cyclic - # - def tsort - each_node = method(:tsort_each_node) - each_child = method(:tsort_each_child) - TSort.tsort(each_node, each_child) - end +module Bundler::TSort - # Returns a topologically sorted array of nodes. - # The array is sorted from children to parents, i.e. - # the first element has no child and the last node has no parent. - # - # The graph is represented by _each_node_ and _each_child_. - # _each_node_ should have +call+ method which yields for each node in the graph. - # _each_child_ should have +call+ method which takes a node argument and yields for each child node. - # - # If there is a cycle, TSort::Cyclic is raised. - # - # g = {1=>[2, 3], 2=>[4], 3=>[2, 4], 4=>[]} - # each_node = lambda {|&b| g.each_key(&b) } - # each_child = lambda {|n, &b| g[n].each(&b) } - # p TSort.tsort(each_node, each_child) #=> [4, 2, 3, 1] - # - # g = {1=>[2], 2=>[3, 4], 3=>[2], 4=>[]} - # each_node = lambda {|&b| g.each_key(&b) } - # each_child = lambda {|n, &b| g[n].each(&b) } - # p TSort.tsort(each_node, each_child) # raises TSort::Cyclic - # - def TSort.tsort(each_node, each_child) - TSort.tsort_each(each_node, each_child).to_a - end + VERSION = "0.2.0" - # The iterator version of the #tsort method. - # <tt><em>obj</em>.tsort_each</tt> is similar to <tt><em>obj</em>.tsort.each</tt>, but - # modification of _obj_ during the iteration may lead to unexpected results. - # - # #tsort_each returns +nil+. - # If there is a cycle, TSort::Cyclic is raised. - # - # class G - # include TSort - # def initialize(g) - # @g = g - # end - # def tsort_each_child(n, &b) @g[n].each(&b) end - # def tsort_each_node(&b) @g.each_key(&b) end - # end - # - # graph = G.new({1=>[2, 3], 2=>[4], 3=>[2, 4], 4=>[]}) - # graph.tsort_each {|n| p n } - # #=> 4 - # # 2 - # # 3 - # # 1 - # - def tsort_each(&block) # :yields: node - each_node = method(:tsort_each_node) - each_child = method(:tsort_each_child) - TSort.tsort_each(each_node, each_child, &block) - end + class Cyclic < StandardError + end - # The iterator version of the TSort.tsort method. - # - # The graph is represented by _each_node_ and _each_child_. - # _each_node_ should have +call+ method which yields for each node in the graph. - # _each_child_ should have +call+ method which takes a node argument and yields for each child node. - # - # g = {1=>[2, 3], 2=>[4], 3=>[2, 4], 4=>[]} - # each_node = lambda {|&b| g.each_key(&b) } - # each_child = lambda {|n, &b| g[n].each(&b) } - # TSort.tsort_each(each_node, each_child) {|n| p n } - # #=> 4 - # # 2 - # # 3 - # # 1 - # - def TSort.tsort_each(each_node, each_child) # :yields: node - return to_enum(__method__, each_node, each_child) unless block_given? + # Returns a topologically sorted array of nodes. + # The array is sorted from children to parents, i.e. + # the first element has no child and the last node has no parent. + # + # If there is a cycle, Bundler::TSort::Cyclic is raised. + # + # class G + # include Bundler::TSort + # def initialize(g) + # @g = g + # end + # def tsort_each_child(n, &b) @g[n].each(&b) end + # def tsort_each_node(&b) @g.each_key(&b) end + # end + # + # graph = G.new({1=>[2, 3], 2=>[4], 3=>[2, 4], 4=>[]}) + # p graph.tsort #=> [4, 2, 3, 1] + # + # graph = G.new({1=>[2], 2=>[3, 4], 3=>[2], 4=>[]}) + # p graph.tsort # raises Bundler::TSort::Cyclic + # + def tsort + each_node = method(:tsort_each_node) + each_child = method(:tsort_each_child) + Bundler::TSort.tsort(each_node, each_child) + end - TSort.each_strongly_connected_component(each_node, each_child) {|component| - if component.size == 1 - yield component.first - else - raise Cyclic.new("topological sort failed: #{component.inspect}") - end - } - end + # Returns a topologically sorted array of nodes. + # The array is sorted from children to parents, i.e. + # the first element has no child and the last node has no parent. + # + # The graph is represented by _each_node_ and _each_child_. + # _each_node_ should have +call+ method which yields for each node in the graph. + # _each_child_ should have +call+ method which takes a node argument and yields for each child node. + # + # If there is a cycle, Bundler::TSort::Cyclic is raised. + # + # g = {1=>[2, 3], 2=>[4], 3=>[2, 4], 4=>[]} + # each_node = lambda {|&b| g.each_key(&b) } + # each_child = lambda {|n, &b| g[n].each(&b) } + # p Bundler::TSort.tsort(each_node, each_child) #=> [4, 2, 3, 1] + # + # g = {1=>[2], 2=>[3, 4], 3=>[2], 4=>[]} + # each_node = lambda {|&b| g.each_key(&b) } + # each_child = lambda {|n, &b| g[n].each(&b) } + # p Bundler::TSort.tsort(each_node, each_child) # raises Bundler::TSort::Cyclic + # + def self.tsort(each_node, each_child) + tsort_each(each_node, each_child).to_a + end - # Returns strongly connected components as an array of arrays of nodes. - # The array is sorted from children to parents. - # Each elements of the array represents a strongly connected component. - # - # class G - # include TSort - # def initialize(g) - # @g = g - # end - # def tsort_each_child(n, &b) @g[n].each(&b) end - # def tsort_each_node(&b) @g.each_key(&b) end - # end - # - # graph = G.new({1=>[2, 3], 2=>[4], 3=>[2, 4], 4=>[]}) - # p graph.strongly_connected_components #=> [[4], [2], [3], [1]] - # - # graph = G.new({1=>[2], 2=>[3, 4], 3=>[2], 4=>[]}) - # p graph.strongly_connected_components #=> [[4], [2, 3], [1]] - # - def strongly_connected_components - each_node = method(:tsort_each_node) - each_child = method(:tsort_each_child) - TSort.strongly_connected_components(each_node, each_child) - end + # The iterator version of the #tsort method. + # <tt><em>obj</em>.tsort_each</tt> is similar to <tt><em>obj</em>.tsort.each</tt>, but + # modification of _obj_ during the iteration may lead to unexpected results. + # + # #tsort_each returns +nil+. + # If there is a cycle, Bundler::TSort::Cyclic is raised. + # + # class G + # include Bundler::TSort + # def initialize(g) + # @g = g + # end + # def tsort_each_child(n, &b) @g[n].each(&b) end + # def tsort_each_node(&b) @g.each_key(&b) end + # end + # + # graph = G.new({1=>[2, 3], 2=>[4], 3=>[2, 4], 4=>[]}) + # graph.tsort_each {|n| p n } + # #=> 4 + # # 2 + # # 3 + # # 1 + # + def tsort_each(&block) # :yields: node + each_node = method(:tsort_each_node) + each_child = method(:tsort_each_child) + Bundler::TSort.tsort_each(each_node, each_child, &block) + end - # Returns strongly connected components as an array of arrays of nodes. - # The array is sorted from children to parents. - # Each elements of the array represents a strongly connected component. - # - # The graph is represented by _each_node_ and _each_child_. - # _each_node_ should have +call+ method which yields for each node in the graph. - # _each_child_ should have +call+ method which takes a node argument and yields for each child node. - # - # g = {1=>[2, 3], 2=>[4], 3=>[2, 4], 4=>[]} - # each_node = lambda {|&b| g.each_key(&b) } - # each_child = lambda {|n, &b| g[n].each(&b) } - # p TSort.strongly_connected_components(each_node, each_child) - # #=> [[4], [2], [3], [1]] - # - # g = {1=>[2], 2=>[3, 4], 3=>[2], 4=>[]} - # each_node = lambda {|&b| g.each_key(&b) } - # each_child = lambda {|n, &b| g[n].each(&b) } - # p TSort.strongly_connected_components(each_node, each_child) - # #=> [[4], [2, 3], [1]] - # - def TSort.strongly_connected_components(each_node, each_child) - TSort.each_strongly_connected_component(each_node, each_child).to_a - end + # The iterator version of the Bundler::TSort.tsort method. + # + # The graph is represented by _each_node_ and _each_child_. + # _each_node_ should have +call+ method which yields for each node in the graph. + # _each_child_ should have +call+ method which takes a node argument and yields for each child node. + # + # g = {1=>[2, 3], 2=>[4], 3=>[2, 4], 4=>[]} + # each_node = lambda {|&b| g.each_key(&b) } + # each_child = lambda {|n, &b| g[n].each(&b) } + # Bundler::TSort.tsort_each(each_node, each_child) {|n| p n } + # #=> 4 + # # 2 + # # 3 + # # 1 + # + def self.tsort_each(each_node, each_child) # :yields: node + return to_enum(__method__, each_node, each_child) unless block_given? - # The iterator version of the #strongly_connected_components method. - # <tt><em>obj</em>.each_strongly_connected_component</tt> is similar to - # <tt><em>obj</em>.strongly_connected_components.each</tt>, but - # modification of _obj_ during the iteration may lead to unexpected results. - # - # #each_strongly_connected_component returns +nil+. - # - # class G - # include TSort - # def initialize(g) - # @g = g - # end - # def tsort_each_child(n, &b) @g[n].each(&b) end - # def tsort_each_node(&b) @g.each_key(&b) end - # end - # - # graph = G.new({1=>[2, 3], 2=>[4], 3=>[2, 4], 4=>[]}) - # graph.each_strongly_connected_component {|scc| p scc } - # #=> [4] - # # [2] - # # [3] - # # [1] - # - # graph = G.new({1=>[2], 2=>[3, 4], 3=>[2], 4=>[]}) - # graph.each_strongly_connected_component {|scc| p scc } - # #=> [4] - # # [2, 3] - # # [1] - # - def each_strongly_connected_component(&block) # :yields: nodes - each_node = method(:tsort_each_node) - each_child = method(:tsort_each_child) - TSort.each_strongly_connected_component(each_node, each_child, &block) - end + each_strongly_connected_component(each_node, each_child) {|component| + if component.size == 1 + yield component.first + else + raise Cyclic.new("topological sort failed: #{component.inspect}") + end + } + end - # The iterator version of the TSort.strongly_connected_components method. - # - # The graph is represented by _each_node_ and _each_child_. - # _each_node_ should have +call+ method which yields for each node in the graph. - # _each_child_ should have +call+ method which takes a node argument and yields for each child node. - # - # g = {1=>[2, 3], 2=>[4], 3=>[2, 4], 4=>[]} - # each_node = lambda {|&b| g.each_key(&b) } - # each_child = lambda {|n, &b| g[n].each(&b) } - # TSort.each_strongly_connected_component(each_node, each_child) {|scc| p scc } - # #=> [4] - # # [2] - # # [3] - # # [1] - # - # g = {1=>[2], 2=>[3, 4], 3=>[2], 4=>[]} - # each_node = lambda {|&b| g.each_key(&b) } - # each_child = lambda {|n, &b| g[n].each(&b) } - # TSort.each_strongly_connected_component(each_node, each_child) {|scc| p scc } - # #=> [4] - # # [2, 3] - # # [1] - # - def TSort.each_strongly_connected_component(each_node, each_child) # :yields: nodes - return to_enum(__method__, each_node, each_child) unless block_given? + # Returns strongly connected components as an array of arrays of nodes. + # The array is sorted from children to parents. + # Each elements of the array represents a strongly connected component. + # + # class G + # include Bundler::TSort + # def initialize(g) + # @g = g + # end + # def tsort_each_child(n, &b) @g[n].each(&b) end + # def tsort_each_node(&b) @g.each_key(&b) end + # end + # + # graph = G.new({1=>[2, 3], 2=>[4], 3=>[2, 4], 4=>[]}) + # p graph.strongly_connected_components #=> [[4], [2], [3], [1]] + # + # graph = G.new({1=>[2], 2=>[3, 4], 3=>[2], 4=>[]}) + # p graph.strongly_connected_components #=> [[4], [2, 3], [1]] + # + def strongly_connected_components + each_node = method(:tsort_each_node) + each_child = method(:tsort_each_child) + Bundler::TSort.strongly_connected_components(each_node, each_child) + end - id_map = {} - stack = [] - each_node.call {|node| - unless id_map.include? node - TSort.each_strongly_connected_component_from(node, each_child, id_map, stack) {|c| - yield c - } - end - } - nil - end + # Returns strongly connected components as an array of arrays of nodes. + # The array is sorted from children to parents. + # Each elements of the array represents a strongly connected component. + # + # The graph is represented by _each_node_ and _each_child_. + # _each_node_ should have +call+ method which yields for each node in the graph. + # _each_child_ should have +call+ method which takes a node argument and yields for each child node. + # + # g = {1=>[2, 3], 2=>[4], 3=>[2, 4], 4=>[]} + # each_node = lambda {|&b| g.each_key(&b) } + # each_child = lambda {|n, &b| g[n].each(&b) } + # p Bundler::TSort.strongly_connected_components(each_node, each_child) + # #=> [[4], [2], [3], [1]] + # + # g = {1=>[2], 2=>[3, 4], 3=>[2], 4=>[]} + # each_node = lambda {|&b| g.each_key(&b) } + # each_child = lambda {|n, &b| g[n].each(&b) } + # p Bundler::TSort.strongly_connected_components(each_node, each_child) + # #=> [[4], [2, 3], [1]] + # + def self.strongly_connected_components(each_node, each_child) + each_strongly_connected_component(each_node, each_child).to_a + end - # Iterates over strongly connected component in the subgraph reachable from - # _node_. - # - # Return value is unspecified. - # - # #each_strongly_connected_component_from doesn't call #tsort_each_node. - # - # class G - # include TSort - # def initialize(g) - # @g = g - # end - # def tsort_each_child(n, &b) @g[n].each(&b) end - # def tsort_each_node(&b) @g.each_key(&b) end - # end - # - # graph = G.new({1=>[2, 3], 2=>[4], 3=>[2, 4], 4=>[]}) - # graph.each_strongly_connected_component_from(2) {|scc| p scc } - # #=> [4] - # # [2] - # - # graph = G.new({1=>[2], 2=>[3, 4], 3=>[2], 4=>[]}) - # graph.each_strongly_connected_component_from(2) {|scc| p scc } - # #=> [4] - # # [2, 3] - # - def each_strongly_connected_component_from(node, id_map={}, stack=[], &block) # :yields: nodes - TSort.each_strongly_connected_component_from(node, method(:tsort_each_child), id_map, stack, &block) - end + # The iterator version of the #strongly_connected_components method. + # <tt><em>obj</em>.each_strongly_connected_component</tt> is similar to + # <tt><em>obj</em>.strongly_connected_components.each</tt>, but + # modification of _obj_ during the iteration may lead to unexpected results. + # + # #each_strongly_connected_component returns +nil+. + # + # class G + # include Bundler::TSort + # def initialize(g) + # @g = g + # end + # def tsort_each_child(n, &b) @g[n].each(&b) end + # def tsort_each_node(&b) @g.each_key(&b) end + # end + # + # graph = G.new({1=>[2, 3], 2=>[4], 3=>[2, 4], 4=>[]}) + # graph.each_strongly_connected_component {|scc| p scc } + # #=> [4] + # # [2] + # # [3] + # # [1] + # + # graph = G.new({1=>[2], 2=>[3, 4], 3=>[2], 4=>[]}) + # graph.each_strongly_connected_component {|scc| p scc } + # #=> [4] + # # [2, 3] + # # [1] + # + def each_strongly_connected_component(&block) # :yields: nodes + each_node = method(:tsort_each_node) + each_child = method(:tsort_each_child) + Bundler::TSort.each_strongly_connected_component(each_node, each_child, &block) + end + + # The iterator version of the Bundler::TSort.strongly_connected_components method. + # + # The graph is represented by _each_node_ and _each_child_. + # _each_node_ should have +call+ method which yields for each node in the graph. + # _each_child_ should have +call+ method which takes a node argument and yields for each child node. + # + # g = {1=>[2, 3], 2=>[4], 3=>[2, 4], 4=>[]} + # each_node = lambda {|&b| g.each_key(&b) } + # each_child = lambda {|n, &b| g[n].each(&b) } + # Bundler::TSort.each_strongly_connected_component(each_node, each_child) {|scc| p scc } + # #=> [4] + # # [2] + # # [3] + # # [1] + # + # g = {1=>[2], 2=>[3, 4], 3=>[2], 4=>[]} + # each_node = lambda {|&b| g.each_key(&b) } + # each_child = lambda {|n, &b| g[n].each(&b) } + # Bundler::TSort.each_strongly_connected_component(each_node, each_child) {|scc| p scc } + # #=> [4] + # # [2, 3] + # # [1] + # + def self.each_strongly_connected_component(each_node, each_child) # :yields: nodes + return to_enum(__method__, each_node, each_child) unless block_given? + + id_map = {} + stack = [] + each_node.call {|node| + unless id_map.include? node + each_strongly_connected_component_from(node, each_child, id_map, stack) {|c| + yield c + } + end + } + nil + end - # Iterates over strongly connected components in a graph. - # The graph is represented by _node_ and _each_child_. - # - # _node_ is the first node. - # _each_child_ should have +call+ method which takes a node argument - # and yields for each child node. - # - # Return value is unspecified. - # - # #TSort.each_strongly_connected_component_from is a class method and - # it doesn't need a class to represent a graph which includes TSort. - # - # graph = {1=>[2], 2=>[3, 4], 3=>[2], 4=>[]} - # each_child = lambda {|n, &b| graph[n].each(&b) } - # TSort.each_strongly_connected_component_from(1, each_child) {|scc| - # p scc - # } - # #=> [4] - # # [2, 3] - # # [1] - # - def TSort.each_strongly_connected_component_from(node, each_child, id_map={}, stack=[]) # :yields: nodes - return to_enum(__method__, node, each_child, id_map, stack) unless block_given? + # Iterates over strongly connected component in the subgraph reachable from + # _node_. + # + # Return value is unspecified. + # + # #each_strongly_connected_component_from doesn't call #tsort_each_node. + # + # class G + # include Bundler::TSort + # def initialize(g) + # @g = g + # end + # def tsort_each_child(n, &b) @g[n].each(&b) end + # def tsort_each_node(&b) @g.each_key(&b) end + # end + # + # graph = G.new({1=>[2, 3], 2=>[4], 3=>[2, 4], 4=>[]}) + # graph.each_strongly_connected_component_from(2) {|scc| p scc } + # #=> [4] + # # [2] + # + # graph = G.new({1=>[2], 2=>[3, 4], 3=>[2], 4=>[]}) + # graph.each_strongly_connected_component_from(2) {|scc| p scc } + # #=> [4] + # # [2, 3] + # + def each_strongly_connected_component_from(node, id_map={}, stack=[], &block) # :yields: nodes + Bundler::TSort.each_strongly_connected_component_from(node, method(:tsort_each_child), id_map, stack, &block) + end - minimum_id = node_id = id_map[node] = id_map.size - stack_length = stack.length - stack << node + # Iterates over strongly connected components in a graph. + # The graph is represented by _node_ and _each_child_. + # + # _node_ is the first node. + # _each_child_ should have +call+ method which takes a node argument + # and yields for each child node. + # + # Return value is unspecified. + # + # #Bundler::TSort.each_strongly_connected_component_from is a class method and + # it doesn't need a class to represent a graph which includes Bundler::TSort. + # + # graph = {1=>[2], 2=>[3, 4], 3=>[2], 4=>[]} + # each_child = lambda {|n, &b| graph[n].each(&b) } + # Bundler::TSort.each_strongly_connected_component_from(1, each_child) {|scc| + # p scc + # } + # #=> [4] + # # [2, 3] + # # [1] + # + def self.each_strongly_connected_component_from(node, each_child, id_map={}, stack=[]) # :yields: nodes + return to_enum(__method__, node, each_child, id_map, stack) unless block_given? - each_child.call(node) {|child| - if id_map.include? child - child_id = id_map[child] - minimum_id = child_id if child_id && child_id < minimum_id - else - sub_minimum_id = - TSort.each_strongly_connected_component_from(child, each_child, id_map, stack) {|c| - yield c - } - minimum_id = sub_minimum_id if sub_minimum_id < minimum_id - end - } + minimum_id = node_id = id_map[node] = id_map.size + stack_length = stack.length + stack << node - if node_id == minimum_id - component = stack.slice!(stack_length .. -1) - component.each {|n| id_map[n] = nil} - yield component + each_child.call(node) {|child| + if id_map.include? child + child_id = id_map[child] + minimum_id = child_id if child_id && child_id < minimum_id + else + sub_minimum_id = + each_strongly_connected_component_from(child, each_child, id_map, stack) {|c| + yield c + } + minimum_id = sub_minimum_id if sub_minimum_id < minimum_id end + } - minimum_id + if node_id == minimum_id + component = stack.slice!(stack_length .. -1) + component.each {|n| id_map[n] = nil} + yield component end - # Should be implemented by a extended class. - # - # #tsort_each_node is used to iterate for all nodes over a graph. - # - def tsort_each_node # :yields: node - raise NotImplementedError.new - end + minimum_id + end - # Should be implemented by a extended class. - # - # #tsort_each_child is used to iterate for child nodes of _node_. - # - def tsort_each_child(node) # :yields: child - raise NotImplementedError.new - end + # Should be implemented by a extended class. + # + # #tsort_each_node is used to iterate for all nodes over a graph. + # + def tsort_each_node # :yields: node + raise NotImplementedError.new + end + + # Should be implemented by a extended class. + # + # #tsort_each_child is used to iterate for child nodes of _node_. + # + def tsort_each_child(node) # :yields: child + raise NotImplementedError.new end end |