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2) Apply levenshtein algorithm to “python” and “pythonly” and get the minimum edit distance

Mayura Sandakalum answered on October 12, 2023 Popularity 1/10 Helpfulness 1/10

answer 2) Apply levenshtein algorithm to “python” and “pythonly” and get the minimum edit distance

2) Apply levenshtein algorithm to “python” and “pythonly” and get the minimum edit distance

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def levenshtein_distance(s1, s2):
    m, n = len(s1), len(s2)
    dp = [[0] * (n + 1) for _ in range(m + 1)]

    for i in range(m + 1):
        dp[i][0] = i

    for j in range(n + 1):
        dp[0][j] = j

    for i in range(1, m + 1):
        for j in range(1, n + 1):
            cost = 0 if s1[i - 1] == s2[j - 1] else 1
            dp[i][j] = min(dp[i - 1][j] + 1, dp[i][j - 1] + 1, dp[i - 1][j - 1] + cost)

    return dp[m][n]

# Calculate the Levenshtein distance between "python" and "pythonly"
s1 = "python"
s2 = "pythonly"
minimum_edit_distance = levenshtein_distance(s1, s2)

print(f"The minimum edit distance between '{s1}' and '{s2}' is {minimum_edit_distance}.")

Popularity 1/10 Helpfulness 1/10 Language python

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Tags: algorithm apply edit-distance get minimum python

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Contributed on Oct 12 2023

Mayura Sandakalum

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2) Apply levenshtein algorithm to “python” and “pythonly” and get the minimum edit distance

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