403Webshell
Server IP : 66.29.132.122  /  Your IP : 18.188.18.197
Web Server : LiteSpeed
System : Linux business142.web-hosting.com 4.18.0-553.lve.el8.x86_64 #1 SMP Mon May 27 15:27:34 UTC 2024 x86_64
User : admazpex ( 531)
PHP Version : 7.2.34
Disable Function : NONE
MySQL : OFF  |  cURL : ON  |  WGET : ON  |  Perl : ON  |  Python : ON  |  Sudo : OFF  |  Pkexec : OFF
Directory :  /proc/self/root/proc/thread-self/root/proc/thread-self/root/opt/alt/ruby18/share/ri/1.8/system/TSort/

Upload File :
current_dir [ Writeable ] document_root [ Writeable ]

 

Command :


[ Back ]     

Current File : /proc/self/root/proc/thread-self/root/proc/thread-self/root/opt/alt/ruby18/share/ri/1.8/system//TSort/cdesc-TSort.yaml
--- !ruby/object:RI::ClassDescription 
attributes: []

class_methods: []

comment: 
- !ruby/struct:SM::Flow::P 
  body: TSort implements topological sorting using Tarjan's algorithm for strongly connected components.
- !ruby/struct:SM::Flow::P 
  body: TSort is designed to be able to be used with any object which can be interpreted as a directed graph.
- !ruby/struct:SM::Flow::P 
  body: TSort requires two methods to interpret an object as a graph, tsort_each_node and tsort_each_child.
- !ruby/object:SM::Flow::LIST 
  contents: 
  - !ruby/struct:SM::Flow::LI 
    label: "*"
    body: tsort_each_node is used to iterate for all nodes over a graph.
  - !ruby/struct:SM::Flow::LI 
    label: "*"
    body: tsort_each_child is used to iterate for child nodes of a given node.
  type: :BULLET
- !ruby/struct:SM::Flow::P 
  body: The equality of nodes are defined by eql? and hash since TSort uses Hash internally.
- !ruby/struct:SM::Flow::H 
  level: 2
  text: A Simple Example
- !ruby/struct:SM::Flow::P 
  body: "The following example demonstrates how to mix the 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 hash, the associated value is an array of the node's child nodes. This choice in turn leads to our implementation of the required #tsort_each_child method, which fetches the array of child nodes and then iterates over that array using the user-supplied block."
- !ruby/struct:SM::Flow::VERB 
  body: "  require 'tsort'\n\n  class Hash\n    include TSort\n    alias tsort_each_node each_key\n    def tsort_each_child(node, &block)\n      fetch(node).each(&block)\n    end\n  end\n\n  {1=>[2, 3], 2=>[3], 3=>[], 4=>[]}.tsort\n  #=> [3, 2, 1, 4]\n\n  {1=>[2], 2=>[3, 4], 3=>[2], 4=>[]}.strongly_connected_components\n  #=> [[4], [2, 3], [1]]\n"
- !ruby/struct:SM::Flow::H 
  level: 2
  text: A More Realistic Example
- !ruby/struct:SM::Flow::P 
  body: "A very simple `make' like tool can be implemented as follows:"
- !ruby/struct:SM::Flow::VERB 
  body: "  require 'tsort'\n\n  class Make\n    def initialize\n      @dep = {}\n      @dep.default = []\n    end\n\n    def rule(outputs, inputs=[], &block)\n      triple = [outputs, inputs, block]\n      outputs.each {|f| @dep[f] = [triple]}\n      @dep[triple] = inputs\n    end\n\n    def build(target)\n      each_strongly_connected_component_from(target) {|ns|\n        if ns.length != 1\n          fs = ns.delete_if {|n| Array === n}\n          raise TSort::Cyclic.new("cyclic dependencies: #{fs.join ', '}")\n        end\n        n = ns.first\n        if Array === n\n          outputs, inputs, block = n\n          inputs_time = inputs.map {|f| File.mtime f}.max\n          begin\n            outputs_time = outputs.map {|f| File.mtime f}.min\n          rescue Errno::ENOENT\n            outputs_time = nil\n          end\n          if outputs_time == nil ||\n             inputs_time != nil && outputs_time <= inputs_time\n            sleep 1 if inputs_time != nil && inputs_time.to_i == Time.now.to_i\n            block.call\n          end\n        end\n      }\n    end\n\n    def tsort_each_child(node, &block)\n      @dep[node].each(&block)\n    end\n    include TSort\n  end\n\n  def command(arg)\n    print arg, "\\n"\n    system arg\n  end\n\n  m = Make.new\n  m.rule(%w[t1]) { command 'date > t1' }\n  m.rule(%w[t2]) { command 'date > t2' }\n  m.rule(%w[t3]) { command 'date > t3' }\n  m.rule(%w[t4], %w[t1 t3]) { command 'cat t1 t3 > t4' }\n  m.rule(%w[t5], %w[t4 t2]) { command 'cat t4 t2 > t5' }\n  m.build('t5')\n"
- !ruby/struct:SM::Flow::H 
  level: 2
  text: Bugs
- !ruby/object:SM::Flow::LIST 
  contents: 
  - !ruby/struct:SM::Flow::LI 
    label: "*"
    body: "'tsort.rb' is wrong name because this library uses Tarjan's algorithm for strongly connected components. Although 'strongly_connected_components.rb' is correct but too long."
  type: :BULLET
- !ruby/struct:SM::Flow::H 
  level: 2
  text: References
- !ruby/object:SM::Flow::LIST 
  contents: 
  - !ruby/struct:SM::Flow::LI 
    label: R.
    body: E. Tarjan, "Depth First Search and Linear Graph Algorithms",
  type: :UPPERALPHA
- !ruby/struct:SM::Flow::P 
  body: <em>SIAM Journal on Computing</em>, Vol. 1, No. 2, pp. 146-160, June 1972.
constants: []

full_name: TSort
includes: []

instance_methods: 
- !ruby/object:RI::MethodSummary 
  name: each_strongly_connected_component
- !ruby/object:RI::MethodSummary 
  name: each_strongly_connected_component_from
- !ruby/object:RI::MethodSummary 
  name: strongly_connected_components
- !ruby/object:RI::MethodSummary 
  name: tsort
- !ruby/object:RI::MethodSummary 
  name: tsort_each
- !ruby/object:RI::MethodSummary 
  name: tsort_each_child
- !ruby/object:RI::MethodSummary 
  name: tsort_each_node
name: TSort
superclass: 

Youez - 2016 - github.com/yon3zu
LinuXploit