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https://github.com/SenecaSystems/red_black_tree
Red-black tree implementation for Elixir.
https://github.com/SenecaSystems/red_black_tree
Last synced: 3 days ago
JSON representation
Red-black tree implementation for Elixir.
- Host: GitHub
- URL: https://github.com/SenecaSystems/red_black_tree
- Owner: tyre
- License: mit
- Created: 2015-06-07T19:51:13.000Z (over 9 years ago)
- Default Branch: master
- Last Pushed: 2018-07-11T13:29:52.000Z (over 6 years ago)
- Last Synced: 2024-04-14T04:08:08.900Z (8 months ago)
- Language: Elixir
- Size: 20.5 KB
- Stars: 38
- Watchers: 3
- Forks: 14
- Open Issues: 7
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# RedBlackTree
[](https://hex.pm/packages/red_black_tree) [](https://travis-ci.org/SenecaSystems/red_black_tree)
Red-black tree implementation for Elixir.
## Install
Add the following to your mix.exs deps:
`{:red_black_tree, "~> 1.0"}`
## About
Provides an ordered key-value store with `O(log(N))` lookup, insert, and delete
performance and `O(1)` size performance.
Implements the [Dict](http://elixir-lang.org/docs/stable/elixir/Dict.html)
behavior, [Enumerable](http://elixir-lang.org/docs/stable/elixir/Enumerable.html)
protocol, and the [Collectable](http://elixir-lang.org/docs/stable/elixir/Collectable.html)
protocol.
### Comparison
By default, keys are compared using strict equality (see note below), allowing for polymorphic keys in the same tree:
```elixir
RedBlackTree.new()
|> RedBlackTree.insert(:a, 1)
|> RedBlackTree.insert({:compound, :key}, 2)
```
A custom comparator may be provided at initialization via the `:comparator`
option.
For example, let's say we want to store maps containing order information,
sorted by the revenue generated and unique by id. We'll use the
`RedBlackTree.compare_terms` function for comparisions since it takes care of
weird cases (see note below.)
```elixir
order_revenue = RedBlackTree.new([], comparator: fn (value1, value2) ->
# If the ids are the same, they are the same
if value1.id === value2.id do
0
else
case RedBlackTree.compare_terms(value1.revenue, value2.revenue) do
# If the revenues are the same but the ids are different, fall back to id comparison for ordering
0 -> RedBlackTree.compare_terms(value1.id, value2.id)
# otherwise return the comparison
revenue_comparison -> revenue_comparison
end
end
end)
updated_tree = order_revenue
|> RedBlackTree.insert(%{id: 3, revenue: 40}, 40)
|> RedBlackTree.insert(%{id: 50, revenue: 10}, 10)
|> RedBlackTree.insert(%{id: 1, revenue: 50}, 50)
|> RedBlackTree.insert(%{id: 2, revenue: 40}, 40)
# => #RedBlackTree<[{%{id: 50, revenue: 10}, 10}, {%{id: 2, revenue: 40}, 40},
{%{id: 3, revenue: 40}, 40}, {%{id: 1, revenue: 50}, 50}]>
# Notice how changing the revenue of order 2 bumps it all the way to the end,
# since its revenue now equals order 1 but it loses the tie-breaker
RedBlackTree.insert(updated_tree, %{id: 2, revenue: 50}, 50)
# #RedBlackTree<[{%{id: 50, revenue: 10}, 10}, {%{id: 2, revenue: 40}, 40},
{%{id: 3, revenue: 40}, 40}, {%{id: 1, revenue: 50}, 50},
{%{id: 2, revenue: 50}, 50}]>
```
**Note**
Due to the way Erlang, and therefore Elixir, implement comparisons for floats
and integers, it is possible for a two keys to be equal (`key == other_key`)
but not strictly equal (`key !== other_key`).
To guarantee consistent ordering, the default `:comparator` function must
fallback to hashing keys that exhibit this property on comparison. In these rare
cases, there will be a small performance penalty.
Example:
```elixir
tree = RedBlackTree.new([1 => :bubbles])
# Hashing necessary since 1 != 1.0 and 1 == 1.0
updated = RedBlackTree.insert(tree, 1.0, :walrus)
# No hashing necessary, no performance impact
RedBlackTree.insert(updated, 0.5, :frank)
|> RedBlackTree.insert(1.5, :suzie)
```