问题
I'm looking to use a rolling hash function so I can take hashes of n-grams of a very large string.
For example:
"stackoverflow", broken up into 5 grams would be:
"stack", "tacko", "ackov", "ckove", "kover", "overf", "verfl", "erflo", "rflow"
This is ideal for a rolling hash function because after I calculate the first n-gram hash, the following ones are relatively cheap to calculate because I simply have to drop the first letter of the first hash and add the new last letter of the second hash.
I know that in general this hash function is generated as:
H = c1ak − 1 + c2ak − 2 + c3ak − 3 + ... + cka0 where a is a constant and c1,...,ck are the input characters.
If you follow this link on the Rabin-Karp string search algorithm , it states that "a" is usually some large prime.
I want my hashes to be stored in 32 bit integers, so how large of a prime should "a" be, such that I don't overflow my integer?
Does there exist an existing implementation of this hash function somewhere that I could already use?
Here is an implementation I created:
public class hash2
{
public int prime = 101;
public int hash(String text)
{
int hash = 0;
for(int i = 0; i < text.length(); i++)
{
char c = text.charAt(i);
hash += c * (int) (Math.pow(prime, text.length() - 1 - i));
}
return hash;
}
public int rollHash(int previousHash, String previousText, String currentText)
{
char firstChar = previousText.charAt(0);
char lastChar = currentText.charAt(currentText.length() - 1);
int firstCharHash = firstChar * (int) (Math.pow(prime, previousText.length() - 1));
int hash = (previousHash - firstCharHash) * prime + lastChar;
return hash;
}
public static void main(String[] args)
{
hash2 hashify = new hash2();
int firstHash = hashify.hash("mydog");
System.out.println(firstHash);
System.out.println(hashify.hash("ydogr"));
System.out.println(hashify.rollHash(firstHash, "mydog", "ydogr"));
}
}
I'm using 101 as my prime. Does it matter if my hashes will overflow? I think this is desirable but I'm not sure.
Does this seem like the right way to go about this?
回答1:
i remember a slightly different implementation which seems to be from one of sedgewick's algorithms books (it also contains example code - try to look it up). here's a summary adjusted to 32 bit integers:
you use modulo arithmetic to prevent your integer from overflowing after each operation.
initially set:
- c = text ("stackoverflow")
- M = length of the "n-grams"
- d = size of your alphabet (256)
- q = a large prime so that (d+1)*q doesn't overflow (8355967 might be a good choice)
- dM = dM-1 mod q
first calculate the hash value of the first n-gram:
h = 0
for i from 1 to M:
h = (h*d + c[i]) mod q
and for every following n-gram:
for i from 1 to lenght(c)-M:
// first subtract the oldest character
h = (h + d*q - c[i]*dM) mod q
// then add the next character
h = (h*d + c[i+M]) mod q
the reason why you have to add d*q before subtracting the oldest character is because you might run into negative values due to small values caused by the previous modulo operation.
errors included but i think you should get the idea. try to find one of sedgewick's algorithms books for details, less errors and a better description. :)
回答2:
As i understand it's a function minimization for:
2^31 - sum (maxchar) * A^kx
where maxchar = 62
(for A-Za-z0-9
). I've just calculated it by Excel (OO Calc, exactly) :) and a max A it found is 76
, or 73
, for a prime number.
回答3:
Not sure what your aim is here, but if you are trying to improve performance, using math.pow will cost you far more than you save by calculating a rolling hash value.
I suggest you start by keeping to simple and efficient and you are very likely find it is fast enough.
来源:https://stackoverflow.com/questions/2314193/are-there-any-working-implementations-of-the-rolling-hash-function-used-in-the-r