Had the following as an interview question a while ago and choked so bad on basic syntax that I failed to advance (once the adrenalin kicks in, coding goes out the window.)
Given a list of string, return a list of sets of strings that are anagrams of the input set. i.e. “dog”,”god”, “foo” should return {“dog”,”god”}. Afterward, I created the code on my own as a sanity check and it’s been around now for a bit. I’d welcome input on it to see if I missed anything or if I could have done it much more efficiently. Take it as a chance to improve myself and learn other techniques:
void Anagram::doWork(list input, list> &output)
{
typedef list < pair < string, string>> SortType;
SortType sortedInput;
// sort each string and pair it with the original
for(list< string >::iterator i = input.begin(); i != input.end(); ++i)
{
string tempString(*i);
std::sort(tempString.begin(), tempString.end());
sortedInput.push_back(make_pair(*i, tempString));
}
// Now step through the new sorted list
for(SortType::iterator i = sortedInput.begin(); i != sortedInput.end();)
{
set< string > newSet;
// Assume (hope) we have a match and pre-add the first.
newSet.insert(i->first);
// Set the secondary iterator one past the outside to prevent
// matching the original
SortType::iterator j = i;
++j;
while(j != sortedInput.end())
{
if(i->second == j->second)
{
// If the string matches, add it to the set and remove it
// so that future searches need not worry about it
newSet.insert(j->first);
j = sortedInput.erase(j);
}
else
{
// else, next element
++j;
}
}
// If size is bigger than our original push, we have a match
// - save it to the output
if(newSet.size() > 1)
{
output.push_back(newSet);
}
// erase this element and update the iterator
i = sortedInput.erase(i);
}
}
Here's a second pass at this after reviewing comments and learning a bit more:
void doBetterWork(list input, list> &output)
{
typedef std::multimap< string, string > SortedInputType;
SortedInputType sortedInput;
vector< string > sortedNames;
for(vector< string >::iterator i = input.begin(); i != input.end(); ++i)
{
string tempString(*i);
std::sort(tempString.begin(), tempString.end());
sortedInput.insert(make_pair(tempString, *i));
sortedNames.push_back(tempString);
}
for(list< string >::iterator i = sortedNames.begin(); i != sortedNames.end(); ++i)
{
pair< SortedInputType::iterator,SortedInputType::iterator > bounds;
bounds = sortedInput.equal_range(*i);
set< string > newSet;
for(SortedInputType::iterator j = bounds.first; j != bounds.second; ++j)
{
newSet.insert(j->second);
}
if(newSet.size() > 1)
{
output.push_back(newSet);
}
sortedInput.erase(bounds.first, bounds.second);
}
}
The best way to group anagrams is to map the strings to some sort of histogram representation.
Basically, with a linear scan of a string, you can produce the histogram representation of how many of each letters it contains. A small, finite alphabet makes this even easier (e.g. with
A-Z, you just have an array of 26 numbers, one for each letter).Now, anagrams are simply words that have the same histogram.
Then you can have a multimap data structure that maps a histogram to a list of words that have that histogram.
The canonical form trick
Instead of working on the histograms, you can also work on the “canonical form” of the strings. Basically, you define for each string, what its canonical form is, and two words are anagrams if they have the same canonical form.
One convenient canonical form is to have the letters in the string in sorted order.
Note that this is just one step after the histogram approach: you’re essentially doing counting sort to sort the letters.
This is the most practical solution in actual programming language to your problem.
Complexity
Producing the histogram/canonical form of a word is practically
O(1)(finite alphabet size, finite maximum word length).With a good hash implementation,
getandputon the multimap isO(1).You can even have multiple multimaps, one for each word length.
If there are
Nwords, putting all the words into the multimaps is thereforeO(N); then outputting each anagram group is simply dumping the values in the multimaps. This too can be done inO(N).This is certainly better than checking if each pair of word are anagrams (an
O(N^2)algorithm).