Open In App
Related Articles

Python Program for Rabin-Karp Algorithm for Pattern Searching

Improve
Improve
Improve
Like Article
Like
Save Article
Save
Report issue
Report

Given a text txt[0..n-1] and a pattern pat[0..m-1], write a function search(char pat[], char txt[]) that prints all occurrences of pat[] in txt[]. You may assume that n > m.
Examples:

Input:  txt[] = "THIS IS A TEST TEXT"
        pat[] = "TEST"
Output: Pattern found at index 10

Input:  txt[] =  "AABAACAADAABAABA"
        pat[] =  "AABA"
Output: Pattern found at index 0
        Pattern found at index 9
        Pattern found at index 12

 

 

The Naive String Matching algorithm slides the pattern one by one. After each slide, one by one checks characters at the current shift, and if all characters match then print the match. Like the Naive Algorithm, the Rabin-Karp algorithm also slides the pattern one by one. But unlike the Naive algorithm, the Rabin Karp algorithm matches the hash value of the pattern with the hash value of the current substring of text, and if the hash values match then only it starts matching individual characters. So Rabin Karp’s algorithm needs to calculate hash values for the following strings.1) Pattern itself.2) All the substrings of the text of length m. 

Python

# Following program is the python implementation of
# Rabin Karp Algorithm given in CLRS book
 
# d is the number of characters in the input alphabet
d = 256
 
# pat  -> pattern
# txt  -> text
# q    -> A prime number
 
def search(pat, txt, q):
    M = len(pat)
    N = len(txt)
    i = 0
    j = 0
    p = 0    # hash value for pattern
    t = 0    # hash value for txt
    h = 1
 
    # The value of h would be "pow(d, M-1)% q"
    for i in xrange(M-1):
        h = (h * d)% q
 
    # Calculate the hash value of pattern and first window
    # of text
    for i in xrange(M):
        p = (d * p + ord(pat[i]))% q
        t = (d * t + ord(txt[i]))% q
 
    # Slide the pattern over text one by one
    for i in xrange(N-M + 1):
        # Check the hash values of current window of text and
        # pattern if the hash values match then only check
        # for characters one by one
        if p == t:
            # Check for characters one by one
            for j in xrange(M):
                if txt[i + j] != pat[j]:
                    break
 
            j+= 1
            # if p == t and pat[0...M-1] = txt[i, i + 1, ...i + M-1]
            if j == M:
                print "Pattern found at index " + str(i)
 
        # Calculate hash value for next window of text: Remove
        # leading digit, add trailing digit
        if i < N-M:
            t = (d*(t-ord(txt[i])*h) + ord(txt[i + M]))% q
 
            # We might get negative values of t, converting it to
            # positive
            if t < 0:
                t = t + q
 
# Driver program to test the above function
txt = "GEEKS FOR GEEKS"
pat = "GEEK"
q = 101 # A prime number
search(pat, txt, q)
 
# This code is contributed by Bhavya Jain

                    
Output:
Pattern found at index 0
Pattern found at index 10

Time Complexity: O(nm), where m is the length of the pattern and n is the length 
Auxiliary Space: O(1).

Please refer complete article on Rabin-Karp Algorithm for Pattern Searching for more details!



Last Updated : 10 Feb, 2023
Like Article
Save Article
Previous
Next
Share your thoughts in the comments
Similar Reads