Longest Common Prefix
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.
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.
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.
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.
- We will implement a function called
Write clean and readable code:
pythondef 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
Test your code:
python# 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"
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.
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.
- The given code assumes that the input
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.