This is a challenge to come up with the most elegant JavaScript, Ruby or other solution to a relatively trivial problem.
This problem is a more specific case of the Longest common substring problem. I need to only find the longest common starting substring in an array. This greatly simplifies the problem.
For example, the longest substring in [interspecies, interstelar, interstate]
is "inters". However, I don't need to find "ific" in [specifics, terrific]
.
I've solved the problem by quickly coding up a solution in JavaScript as a part of my answer about shell-like tab-completion (test page here). Here is that solution, slightly tweaked:
function common_substring(data) {
var i, ch, memo, idx = 0
do {
memo = null
for (i=0; i < data.length; i++) {
ch = data[i].charAt(idx)
if (!ch) break
if (!memo) memo = ch
else if (ch != memo) break
}
} while (i == data.length && idx < data.length && ++idx)
return (data[0] || '').slice(0, idx)
}
This code is available in this Gist along with a similar solution in Ruby. You can clone the gist as a git repo to try it out:
$ git clone git://gist.github.com/257891.git substring-challenge
I'm not very happy with those solutions. I have a feeling they might be solved with more elegance and less execution complexity—that's why I'm posting this challenge.
I'm going to accept as an answer the solution I find the most elegant or concise. Here is for instance a crazy Ruby hack I come up with—defining the &
operator on String:
# works with Ruby 1.8.7 and above
class String
def &(other)
difference = other.to_str.each_char.with_index.find { |ch, idx|
self[idx].nil? or ch != self[idx].chr
}
difference ? self[0, difference.last] : self
end
end
class Array
def common_substring
self.inject(nil) { |memo, str| memo.nil? ? str : memo & str }.to_s
end
end
Solutions in JavaScript or Ruby are preferred, but you can show off clever solution in other languages as long as you explain what's going on. Only code from standard library please.
Update: my favorite solutions
I've chosen the JavaScript sorting solution by kennebec as the "answer" because it struck me as both unexpected and genius. If we disregard the complexity of actual sorting (let's imagine it's infinitely optimized by the language implementation), the complexity of the solution is just comparing two strings.
Other great solutions:
- "regex greed" by FM takes a minute or two to grasp, but then the elegance of it hits you. Yehuda Katz also made a regex solution, but it's more complex
commonprefix
in Python — Roberto Bonvallet used a feature made for handling filesystem paths to solve this problem- Haskell one-liner is short as if it were compressed, and beautiful
- the straightforward Ruby one-liner
Thanks for participating! As you can see from the comments, I learned a lot (even about Ruby).
This is probably not the most concise solution (depends if you already have a library for this), but one elegant method is to use a trie. I use tries for implementing tab completion in my Scheme interpreter:
http://github.com/jcoglan/heist/blob/master/lib/trie.rb
For example:
I also use them for matching channel names with wildcards for the Bayeux protocol; see these:
http://github.com/jcoglan/faye/blob/master/client/channel.js
http://github.com/jcoglan/faye/blob/master/lib/faye/channel.rb
This one is very similar to Roberto Bonvallet's solution, except in ruby.
The first line replaces each word with an array of chars. Next, I use
zip
to create this data structure:[["i", "i", "i"], ["n", "n", "n"], ["t", "t", "t"], ...
map
anduniq
reduce this to[["i"],["n"],["t"], ...
take_while
pulls the chars off the array until it finds one where the size isn't one (meaning not all chars were the same). Finally, Ijoin
them back together.You just need to traverse all strings until they differ, then take the substring up to this point.
Pseudocode:
Common Lisp:
A javascript version based on @Svante's algorithm:
Ruby one-liner:
In Python I wouldn't use anything but the existing
commonprefix
function I showed in another answer, but I couldn't help to reinvent the wheel:P
. This is my iterator-based approach:Edit: Explanation of how this works.
zip
generates tuples of elements taking one of each item ofa
at a time:By mapping
set
over these items, I get a series of unique letters:takewhile(predicate, items)
takes elements from this while the predicate is True; in this particular case, when theset
s have one element, i.e. all the words have the same letter at that position:At this point we have an iterable of sets, each containing one letter of the prefix we were looking for. To construct the string, we
chain
them into a single iterable, from which we get the letters tojoin
into the final string.The magic of using iterators is that all items are generated on demand, so when
takewhile
stops asking for items, the zipping stops at that point and no unnecessary work is done. Each function call in my one-liner has a implicitfor
and an implicitbreak
.