Array.prototype.binarySearch = function binarySearch(find, comparator) {
  var low = 0, high = this.length - 1,
      i, comparison;
  while (low <= high) {
    i = parseInt((low + high) / 2, 10);
    comparison = comparator(this[i], find);
    if (comparison < 0) { low = i + 1; continue; };
    if (comparison > 0) { high = i - 1; continue; };
    return i;
  }
  return null;
};

Extending Array with this binarySearch method allows you to re-use the functional arguments to passed to sort to generate the sorted array in the first place.

def with_cwd dir
  original_dir = Dir.pwd
  begin
    Dir.chdir dir
    yield
  ensure
    Dir.chdir original_dir
  end
end

When working remotely from the product stakeholders, its important to be able to iterate rapidly over designs, and to capture evidence of, and reproduce tricky bugs.

A great way to do this is by sharing screenshots, and the best tool for quickly sharing screenshots on Mac is GrabUp.

The tool is implemented as a Preference Pane and monitors for screenshots. When a screenshot is taken (using ⌘ ⇧ 3 for full-screen screenshots, ⌘ ⇧ 4 for regional screenshots, and ⌘ ⇧ 4, space for single-window screenshots) the image is automatically uploaded either to GrabUp’s servers, or to your own FTP server*, and the URL to access the image is placed on your system’s clipboard for pasting.

The free version of GrabUp provides a URL which looks like a PNG, but is actually an ordinary web-page containing your image. Pasting these links in Campfire leaves empty rows, so either upgrade to the Pro version which doesn’t have this problem, or remove the “http://” from the beginning of the link before you send it.

Object property-names in JavaScript must be strings. This may seem obvious, but it has serious repercussions if you’re used to the free-wheeling style of Ruby’s Hash.

a = {};
b = {};
a[b] = null;
console.log(typeof(b));
for (var i in a) {
  console.log(typeof(i));
}

In order to have the flexibility I’m used to, I whipped up this simple Hash that stores both keys and values in separate arrays.

/* JavaScript Associative Array */
function Hash(obj) {
  this.initialize(obj);
}
 
Hash.prototype = {
  initialize: function(obj) {
    this._keys   = [];
    this._values = [];
    if (obj) for (var k in obj) {
      this.set(k, obj[k]);
    }
  },
  set: function(key, value) {
    var i = this._indexOf(key);
    if (undefined == i) {
      this._keys.push(key);
      this._values.push(value);
    } else {
      this._values[i] = value;
    }
    return value;
  },
  get: function(key) {
    return this._values[this._indexOf(key)];
  },
  remove: function(key) {
    var i = this._indexOf(key);
    if (undefined == i) return;
    var s = this._keys.length - 1;
    this._keys[i]   = this._keys[s];
    this._values[i] = this._values[s];
    this._keys.pop();
    this._values.pop();
  },
  hasKey: function(key) {
    return (undefined != this._indexOf(key));
  },
  keys: function() { return this._keys.slice(0, this._keys.length); },
  values: function() { return this._values.slice(0, this._values.length); },
  eachPair: function(func) {
    for (var i = this._keys.length - 1; i >= 0; i--) {
      func(this._keys[i], this._values[i]);
    }
  },
 
  _indexOf: function(key) {
    for (var i = this._keys.length - 1; i >= 0; i--) {
      if (this._isElementSame(key, this._keys[i]))
        return i;
    }
    return undefined;
  },
  _isElementSame: function(ele1, ele2) {
    if (ele1 == ele2) return true;
    if ('string' == typeof(ele1)) return false;
    if (ele1.hasOwnProperty('length')) {
      for (var i = ele1.length - 1; i >= 0; i--) {
        if (!this._isElementSame(ele1[i], ele2[i]))
          return false;
      }
    }
    // TODO: Need to do something smarter for objects
    return true;
  }
}

class Numeric
  def to_ordinal
    to_i.to_s + ((11..13) === (n = to_i.abs % 100) ? 'th' :
      { 1 => 'st', 2 => 'nd', 3 => 'rd' }.fetch(n % 10, 'th'))
  end
end

This code is based on a snippet for generating ordinals. The other examples used a fixed-size array for pulling suffixes. Instead, I use the 2-parameter version of Hash#fetch to supply a default for most numbers.

It is frequently desirable to represent bidirectional relationships in web applications, and simple databases are not immediately suitable for this information.

Let’s start with a simple unidirectional example that a database like MySQL handles well.

User 1 wants to be friends with User 2.

A row is inserted into the befriendings table with User 1 as the initiator and User 2 as the recipient.

Now, if your friendships are unidirectional the job is pretty much done. If User 2 wants to be friends with User 1, they can initiate a befriending of their own. On Kongregate, users you have befriended are called “Friends”, and users who have befriended you are called “Fans”

class User < ActiveRecord::Base
  has_many :initiated_befriendings,
    :class_name => :Befriending, :foreign_key => :initiator_id
  has_many :received_befriendings,
    :class_name => :Befriending, :foreign_key => :recipient_id
  has_many :friends, :through => :initiated_befriendings,
    :source => :recipient
  has_many :fans, :through => :initiated_befriendings,
    :source => :initiator
end

However, sometimes you want to follow a friendship model more like the one used by Facebook or MySpace, where all friendships are bidirectional.

Both of these sites implement a relationship-confirmation step before any relationship is finalized. For simplicity’s sake, I’ll skip over modeling that step, but suffice it to say, pending relationships are best stored separately from confirmed relationships. Attempting to mix the two needlessly mingles data and complicates application logic.

Let’s assume any user has the ability to initiate the bidirectional relationship. Now, in the befriendings table, we technically have all the information necessary to list all friends of User 1, and all friends of User 2.

SELECT * FROM befriendings WHERE initiator_id = 1 OR recipient_id = 1 ORDER BY created_at;

SELECT * FROM befriendings WHERE initiator_id = 1
UNION SELECT * FROM befriendings WHERE recipient_id = 1 ORDER BY created_at;

In the first case, only one index can be used (on either initiatior_id, or on recipient_id), and in both cases, the ORDER clause necessitates a filesort on the results.

So the simplest approach here would be to simply duplicate the relationship data in another row, swapping the initiator and recipient ids. This is okay, but starts to fall apart as store more information about the relationship itself. For example, imagine we store a compatibility score between the two users, as last.fm does.

This information would need to be duplicated, as well as keeping the the various timestamps in-sync. Indices against these fields would bloat unnecessarily.

Instead, we can move the duplicated information to a dedicated table, eliminating indices on the relationships table itself. The column by which results are ordered is moved from the relationships table to the dedicated table.

class Befriending < ActiveRecord::Base
  belongs_to :initiator, :class_name => :User
  belongs_to :recipient, :class_name => :User
  after_create do |b|
    BefriendingEdge.create!(:user => b.initiator, :befriending => b)
    BefriendingEdge.create!(:user => b.recipient, :befriending => b)
  end
end
 
class BefriendingEdge < ActiveRecord::Base
  belongs_to :user
  belongs_to :befriending
end

Users then access their list of friends through a :friends association and can access the rich information about the relationship itself through the :befriendings association. The befriending_edges table’s indices are simple and very efficient, and looking up befriendings uses a single primary key, and looking up friends uses two primary keys.

class User < ActiveRecord::Base
  has_many :befriending_edges
  has_many :friends, :through => :befriending_edges, :source => :user
  has_many :befriendings, :through => :befriending_edges, :source => :befriending
end


Despite an unfortunate fainting spell at the end of the presentation, overall it went alright.

The slides are available here.

class TrieStoreTest < Test::Unit::TestCase
  def setup
    @t = TrieStore.new
  end
 
  def test_should_insert
    @t.insert('hello', 1)
  end
 
  def test_should_search
    @t.insert('hello', :value1)
    assert_equal [ :value1 ], @t.search('hello')
  end
 
  def test_should_search_with_prefix
    @t.insert('hello', :value1)
    assert_equal [ :value1 ], @t.search('he')
  end
 
  def test_should_not_search_missing_values
    @t.insert('hello', :value)
    assert !@t.search('goodbye')
  end
 
  def test_should_return_unique_matches
    @t.insert('hello', :value1)
    @t.insert('help', :value2)
    assert_equal [ :value1 ], @t.search('hello')
  end
 
  def test_should_return_common_matches
    @t.insert('hello', :value1)
    @t.insert('help', :value2)
    assert_equal [ :value1, :value2 ], @t.search('hel')
  end
end

class TrieStore
  def initialize
    @children, @data = {}, []
  end
 
  def insert(term, value)
    return if term.empty?
 
    head = term[0, 1]
    rest = term[1..-1]
    @data |= [value]
    @children[head] ||= TrieStore.new
    @children[head].insert(rest, value)
  end
 
  def search(term)
    case term.size
      when 0 then []
      when 1 then @data
      else
        head = term[0, 1]
        rest = term[1..-1]
        if child = @children[head]
          child.search(rest)
        else
          []
        end
    end
  end
end

Props to Jeremy Voorhis for this cool and simple Hash maneuver.

class Hash
  def rewrite mapping
    inject({}) do |rewritten_hash, (original_key, value)|
      rewritten_hash[mapping.fetch(original_key, original_key)] = value
      rewritten_hash
    end
  end
end

Example usage:

h = { :human => 'squishy', :robot => 'tinny' }
h.rewrite(:human => :mammal)
# => { :mammal => 'squishy', :robot => 'tinny' }

Interestingly, this is the first time I’ve seen argument decomposition used in a truly clear and helpful way.