Efficient, immutable, and thread-safe collection classes for Ruby.
Hamster provides 6 Persistent Data
Structures: Hash
, Vector
, Set
, SortedSet
, List
, and Deque
(which works as an immutable queue or stack).
Hamster collections are immutable. Whenever you modify a Hamster collection, the original is preserved and a modified copy is returned. This makes them inherently thread-safe and shareable. At the same time, they remain CPU and memory-efficient by sharing between copies.
While Hamster collections are immutable, you can still mutate objects stored in them. We recommend that you don't do this, unless you are sure you know what you are doing. Hamster collections are thread-safe and can be freely shared between threads, but you are responsible for making sure that the objects stored in them are used in a thread-safe manner.
Hamster collections are almost always closed under a given operation. That is, whereas Ruby's collection methods always return arrays, Hamster collections will return an instance of the same class wherever possible.
Where possible, Hamster collections offer an interface compatible with Ruby's
built-in Hash
, Array
, and Enumerable
, to ease code migration. Also, Hamster methods accept regular Ruby collections as arguments, so code which uses Hamster
can easily interoperate with your other Ruby code.
And lastly, Hamster lists are lazy, making it possible to (among other things) process "infinitely large" lists.
To make the collection classes available in your code:
require "hamster"
Or if you prefer to only pull in certain collection types:
require "hamster/hash"
require "hamster/vector"
require "hamster/set"
require "hamster/sorted_set"
require "hamster/list"
require "hamster/deque"
Hash (API Documentation)
Constructing a Hamster Hash
is almost as simple as a regular one:
person = Hamster.hash(name: "Simon", gender: :male)
# => Hamster::Hash[:name => "Simon", :gender => :male]
Accessing the contents will be familiar to you:
person[:name] # => "Simon"
person.get(:gender) # => :male
Updating the contents is a little different than you are used to:
friend = person.put(:name, "James") # => Hamster::Hash[:name => "James", :gender => :male]
person # => Hamster::Hash[:name => "Simon", :gender => :male]
friend[:name] # => "James"
person[:name] # => "Simon"
As you can see, updating the hash returned a copy leaving the original intact. Similarly, deleting a key returns yet another copy:
male = person.delete(:name) # => Hamster::Hash[:gender => :male]
person # => Hamster::Hash[:name => "Simon", :gender => :male]
male.key?(:name) # => false
person.key?(:name) # => true
Since it is immutable, Hamster's Hash
doesn't provide an assignment
(Hash#[]=
) method. However, Hash#put
can accept a block which
transforms the value associated with a given key:
counters.put(:odds) { |value| value + 1 } # => Hamster::Hash[:odds => 1, :evens => 0]
Or more succinctly:
counters.put(:odds, &:next) # => {:odds => 1, :evens => 0}
This is just the beginning; see the API documentation for details on all Hash
methods.
Vector (API Documentation)
A Vector
is an integer-indexed collection much like an immutable Array
. Examples:
vector = Hamster.vector(1, 2, 3, 4) # => Hamster::Vector[1, 2, 3, 4]
vector[0] # => 1
vector[-1] # => 4
vector.set(1, :a) # => Hamster::Vector[1, :a, 3, 4]
vector.add(:b) # => Hamster::Vector[1, 2, 3, 4, :b]
vector.insert(2, :a, :b) # => Hamster::Vector[1, 2, :a, :b, 3, 4]
vector.delete_at(0) # => Hamster::Vector[2, 3, 4]
Other Array
-like methods like #select
, #map
, #shuffle
, #uniq
, #reverse
,
#rotate
, #flatten
, #sort
, #sort_by
, #take
, #drop
, #take_while
,
#drop_while
, #fill
, #product
, and #transpose
are also supported. See the
API documentation for details on all Vector
methods.
Set (API Documentation)
A Set
is an unordered collection of values with no duplicates. It is much like the Ruby standard library's Set
, but immutable. Examples:
set = Hamster.set(:red, :blue, :yellow) # => Hamster::Set[:red, :blue, :yellow]
set.include? :red # => true
set.add :green # => Hamster::Set[:red, :blue, :yellow, :green]
set.delete :blue # => Hamster::Set[:red, :yellow]
set.superset? Hamster.set(:red, :blue) # => true
set.union([:red, :blue, :pink]) # => Hamster::Set[:red, :blue, :yellow, :pink]
set.intersection([:red, :blue, :pink]) # => Hamster::Set[:red, :blue]
Like most Hamster methods, the set-theoretic methods #union
, #intersection
, #difference
, and #exclusion
(aliased as #|
, #&
, #-
, and #^
) all work with regular Ruby collections, or indeed any Enumerable
object. So just like all the other Hamster collections, Hamster::Set
can easily be used in combination with "ordinary" Ruby code.
See the API documentation for details on all Set
methods.
SortedSet (API Documentation)
A SortedSet
is like a Set
, but ordered. You can do everything with it that you can
do with a Set
. Additionally, you can get the #first
and #last
item, or retrieve
an item using an integral index:
set = Hamster.sorted_set('toast', 'jam', 'bacon') # => Hamster::SortedSet["bacon", "jam", "toast"]
set.first # => "bacon"
set.last # => "toast"
set[1] # => "jam"
You can also specify the sort order using a block:
Hamster.sorted_set('toast', 'jam', 'bacon') { |a,b| b <=> a }
Hamster.sorted_set('toast', 'jam', 'bacon') { |str| str.chars.last }
See the API documentation for details on all SortedSet
methods.
List (API Documentation)
Hamster List
s have a "head" (the value at the front of the list),
and a "tail" (a list of the remaining items):
list = Hamster.list(1, 2, 3)
list.head # => 1
list.tail # => Hamster.list(2, 3)
To add to a list, you use List#cons
:
original = Hamster.list(1, 2, 3)
copy = original.cons(0) # => Hamster.list(0, 1, 2, 3)
Notice how modifying a list actually returns a new list.
That's because Hamster List
s are immutable. Thankfully,
just like other Hamster collections, they're also very
efficient at making copies!
List
is, where possible, lazy. That is, it tries to defer
processing items until absolutely necessary. For example,
given a crude function to detect prime numbers:
def prime?(number)
2.upto(Math.sqrt(number).round) do |integer|
return false if (number % integer).zero?
end
true
end
The following code will only call #prime?
as many times as
necessary to generate the first 3 prime numbers between 10,000
and 1,000,000:
Hamster.interval(10_000, 1_000_000).select do |number|
prime?(number)
end.take(3)
# => 0.0009s
Compare that to the conventional equivalent which needs to calculate all possible values in the range before taking the first three:
(10000..1000000).select do |number|
prime?(number)
end.take(3)
# => 10s
Besides Hamster.list
there are other ways to construct lists:
-
Hamster.interval(from, to)
creates a lazy list equivalent to a list containing all the values betweenfrom
andto
without actually creating a list that big. -
Hamster.stream { ... }
allows you to creates infinite lists. Each time a new value is required, the supplied block is called. To generate a list of integers you could do:count = 0 Hamster.stream { count += 1 }
-
Hamster.repeat(x)
creates an infinite list withx
the value for every element. -
Hamster.replicate(n, x)
creates a list of sizen
withx
the value for every element. -
Hamster.iterate(x) { |x| ... }
creates an infinite list where the first item is calculated by applying the block on the initial argument, the second item by applying the function on the previous result and so on. For example, a simpler way to generate a list of integers would be:Hamster.iterate(1) { |i| i + 1 }
or even more succinctly:
Hamster.iterate(1, &:next)
You also get Enumerable#to_list
so you can slowly
transition from built-in collection classes to Hamster.
And finally, you get IO#to_list
allowing you to lazily
process huge files. For example, imagine the following
code to process a 100MB file:
File.open("my_100_mb_file.txt") do |file|
lines = []
file.each_line do |line|
break if lines.size == 10
lines << line.chomp.downcase.reverse
end
end
How many times/how long did you read the code before it became apparent what the code actually did? Now compare that to the following:
File.open("my_100_mb_file.txt") do |file|
file.map(&:chomp).map(&:downcase).map(&:reverse).take(10)
end
Unfortunately, though the second example reads nicely, it
takes around 13 seconds to run (compared with 0.033 seconds
for the first) even though we're only interested in the first
10 lines! However, using a little #to_list
magic, we
can get the running time back down to 0.033 seconds!
File.open("my_100_mb_file.txt") do |file|
file.to_list.map(&:chomp).map(&:downcase).map(&:reverse).take(10)
end
How is this even possible? It's possible because IO#to_list
creates a lazy list whereby each line is only ever read and
processed as needed, in effect converting it to the first
example without all the syntactic, imperative, noise.
See the API documentation for details on all List
methods.
Deque (API Documentation)
A Deque
(or "double-ended queue") is an ordered collection, which allows you to push and pop items from both front and back. This makes it perfect as an immutable stack or queue. Examples:
deque = Hamster.deque(1, 2, 3) # => Hamster::Deque[1, 2, 3]
deque.first # 1
deque.last # 3
deque.pop # => Hamster::Deque[1, 2]
deque.push(:a) # => Hamster::Deque[1, 2, 3, :a]
deque.shift # => Hamster::Deque[2, 3]
deque.unshift(:a) # => Hamster::Deque[:a, 1, 2, 3]
Of course, you can do the same thing with a Vector
, but a Deque
is more efficient. See the API documentation for details on all Deque
methods.
Add this line to your application's Gemfile:
gem "hamster", "~> 1.0"
And then execute:
$ bundle
Or install it yourself as:
$ gem install hamster
- Fork it
- Create your feature branch (
git checkout -b my-new-feature
) - Commit your changes (
git commit -am "Add some feature"
) - Push to the branch (
git push origin my-new-feature
) - Create new Pull Request
- The structure which is used for Hamster's
Hash
andSet
: Hash Array Mapped Tries - An interesting perspective on why immutability itself is inherently a good thing: Matthias Felleisen's Function Objects presentation.
- The Hamster FAQ
- Changelog
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Copyright (c) 2009-2014 Simon Harris
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