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Exploring the KMP Algorithm for Efficient Pattern Search

Hey Forum Members!

I came across this fantastic article online about the Knuth-Morris-Pratt (KMP) Algorithm for pattern search. The KMP Algorithm is a powerful technique for efficiently searching for a pattern within a larger text. Understanding this algorithm can significantly improve your string searching skills.

The article I found here provides a detailed explanation of the KMP Algorithm and its implementation in code. It's a must-read for anyone interested in algorithms and data structures.

Here's a snippet of the code from the article that demonstrates how the KMP Algorithm can be implemented in Python:

def compute_lps_array(pattern):
    length = 0
    i = 1
    lps = [0] * len(pattern)
    while i < len(pattern):
        if pattern[i] == pattern[length]:
            length += 1
            lps[i] = length
            i += 1
            if length != 0:
                length = lps[length - 1]
                lps[i] = 0
                i += 1
    return lps

def kmp_algorithm(text, pattern):
    lps = compute_lps_array(pattern)
    i = 0
    j = 0
    while i < len(text) and j < len(pattern):
        if text[i] == pattern[j]:
            i += 1
            j += 1
            if j != 0:
                j = lps[j - 1]
                i += 1
    if j == len(pattern):
        return True, i - j
        return False, -1

pattern = "ABABCABAB"
result, index = kmp_algorithm(text, pattern)

if result:
    print("Pattern found at index:", index)
    print("Pattern not found in the given text.")

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