Longest Common Prefix

 

  1. Clarify the problem:

    • The problem requires finding the longest common prefix among a given array of strings.
    • We need to implement a function that takes an array of strings as input and returns the longest common prefix.
  2. Analyze the problem:

    • Input: An array of strings.
    • Output: The longest common prefix as a string.
    • Constraints:
      • The array can be empty.
      • The strings in the array may be empty or have different lengths.
  3. Design an algorithm:

    • We can find the longest common prefix by comparing characters at each position in all the strings.
    • Start with the first character of the first string and compare it with the corresponding characters in other strings.
    • If all characters match, append the character to the common prefix.
    • Continue this process until a mismatch is found or we reach the end of any string.
  4. Explain your approach:

    • We will implement a function called longestCommonPrefix that takes an array of strings as input.
    • If the array is empty, return an empty string.
    • Initialize a variable prefix as an empty string to store the common prefix.
    • Iterate through the characters of the first string.
    • For each character, iterate through the remaining strings and compare the corresponding characters.
    • If any character mismatches or we reach the end of any string, return the current prefix.
    • If all characters match, append the character to the prefix.
    • Return the final prefix.
  5. Write clean and readable code:

    python
  6. def longestCommonPrefix(strs): if not strs: return "" prefix = "" for i, char in enumerate(strs[0]): for j in range(1, len(strs)): if i >= len(strs[j]) or char != strs[j][i]: return prefix prefix += char return prefix
  7. Test your code:

    python
  8. # Test case 1 # Input: ["flower", "flow", "flight"] # The longest common prefix is "fl". assert longestCommonPrefix(["flower", "flow", "flight"]) == "fl" # Test case 2 # Input: ["dog", "racecar", "car"] # There is no common prefix, so the result is an empty string. assert longestCommonPrefix(["dog", "racecar", "car"]) == "" # Test case 3 # Input: ["a"] # The longest common prefix is "a" since there is only one string. assert longestCommonPrefix(["a"]) == "a"
  9. Optimize if necessary:

    • The provided solution has a time complexity of O(n * m), where n is the number of strings and m is the length of the longest string.
    • The space complexity is O(1) since we use a constant amount of extra space.
  10. Handle error cases:

    • The given code assumes that the input strs is a valid array of strings. If the input is not a valid array or contains invalid values, it may result in unexpected behavior.
  11. Discuss complexity analysis:

    • The time complexity of the solution is O(n * m), where n is the number of strings and m is the length of the longest string. We iterate through the characters of the first string and compare them with the corresponding characters in other strings.
    • The space complexity is O(1) since we use a constant amount of extra space to store the prefix.
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