ProductPromotion
Logo

Elixir

made by https://0x3d.site

GitHub - stocks29/dlist: Deque implementations in elixir
Deque implementations in elixir. Contribute to stocks29/dlist development by creating an account on GitHub.
Visit Site

GitHub - stocks29/dlist: Deque implementations in elixir

GitHub - stocks29/dlist: Deque implementations in elixir

Dlist

An elixir library containing two Deque implementations.

API documentation is available at http://hexdocs.pm/dlist

Add as dependency

{:dlist, "~> 0.0.1"}

Libraries

Dlist.Deque

This implementation is a two list solution.

This supports fast inserts done in constant time. The first and last operations are worst case O(n). to_list is also O(n) worst case.

alias Dlist.Deque

deque = Deque.new
deque = Deque.append(deque, 2)
deque = Deque.append(deque, 3)
deque = Deque.prepend(deque, 1)
deque = Deque.prepend(deque, 0)
IO.puts inspect Deque.to_list(deque)
# ==> [0, 1, 2, 3]

Dlist.DoublyLinkedList

This implementation uses a gen_server and therefore is mutable. This is similar to your standard doubly linked list in imperative languages.

It supports fast inserts in constant time. first and last operations are also done in constant time. to_list, is always O(n) since it must traverse all nodes to build the list.

Be sure to destory the list when you're finished using it.

alias Dlist.DoublyLinkedList, as: DLL

{:ok, dll} = DLL.new
DLL.append(dll, 2)
DLL.append(dll, 3)
DLL.prepend(dll, 1)
DLL.prepend(dll, 0)
IO.puts inspect DLL.to_list(dll)
# ==> [0, 1, 2, 3]

DLL.destroy(dll)

Benchmarks

The two list Deque implementation is much faster than the gen_server DoublyLinkedList for the sample code above. The benchmarking script can be found in benchmarks.exs.

$ mix run benchmarks.exs
*** &DlistBenchmark.deque_append_prepend_to_list/0 ***
1.2 sec     2M iterations   0.6 μs/op

*** &DlistBenchmark.dll_append_prepend_to_list/0 ***
1.2 sec     8K iterations   157.36 μs/op

Articles
to learn more about the elixir concepts.

Resources
which are currently available to browse on.

mail [email protected] to add your project or resources here 🔥.

FAQ's
to know more about the topic.

mail [email protected] to add your project or resources here 🔥.

Queries
or most google FAQ's about Elixir.

mail [email protected] to add more queries here 🔍.

More Sites
to check out once you're finished browsing here.

0x3d
https://www.0x3d.site/
0x3d is designed for aggregating information.
NodeJS
https://nodejs.0x3d.site/
NodeJS Online Directory
Cross Platform
https://cross-platform.0x3d.site/
Cross Platform Online Directory
Open Source
https://open-source.0x3d.site/
Open Source Online Directory
Analytics
https://analytics.0x3d.site/
Analytics Online Directory
JavaScript
https://javascript.0x3d.site/
JavaScript Online Directory
GoLang
https://golang.0x3d.site/
GoLang Online Directory
Python
https://python.0x3d.site/
Python Online Directory
Swift
https://swift.0x3d.site/
Swift Online Directory
Rust
https://rust.0x3d.site/
Rust Online Directory
Scala
https://scala.0x3d.site/
Scala Online Directory
Ruby
https://ruby.0x3d.site/
Ruby Online Directory
Clojure
https://clojure.0x3d.site/
Clojure Online Directory
Elixir
https://elixir.0x3d.site/
Elixir Online Directory
Elm
https://elm.0x3d.site/
Elm Online Directory
Lua
https://lua.0x3d.site/
Lua Online Directory
C Programming
https://c-programming.0x3d.site/
C Programming Online Directory
C++ Programming
https://cpp-programming.0x3d.site/
C++ Programming Online Directory
R Programming
https://r-programming.0x3d.site/
R Programming Online Directory
Perl
https://perl.0x3d.site/
Perl Online Directory
Java
https://java.0x3d.site/
Java Online Directory
Kotlin
https://kotlin.0x3d.site/
Kotlin Online Directory
PHP
https://php.0x3d.site/
PHP Online Directory
React JS
https://react.0x3d.site/
React JS Online Directory
Angular
https://angular.0x3d.site/
Angular JS Online Directory