Problem Description
Given an array of strings representing folder names to be created sequentially, the task is to assign a unique name to each folder. When a folder name conflicts with a previously used name, the system appends a suffix in the form of (k), where k is the smallest positive integer that makes the folder name unique.
Key Insights
- Use a hash table (dictionary/map) to keep track of existing folder names and the next suffix number for duplicates.
- When encountering a name, if it is unique, add it directly to the answer and record it in the hash table.
- If the name has already been used, find the smallest integer k for which name(k) is not in the hash table, update the dictionary accordingly, and use that name.
- Checking and updating the dictionary ensures constant time operations on average.
Space and Time Complexity
Time Complexity: O(n) on average, where n is the number of folder names, since each name is processed in constant time with average O(1) hash table operations. Space Complexity: O(n) for storing the folder names and their counters in the hash table.
Solution
We solve the problem by iterating over the given list of names:
- For each folder name:
- If the name has not been seen before (not in the hash table), add it to the result and mark it as seen.
- If the name exists, determine the smallest integer k such that the new name in the form of "name(k)" is unique. We do this by checking from the previously stored counter value.
- Update the hash table for both the original name and the new name.
- This approach ensures that for every duplicate the smallest possible valid suffix is used.
Data Structures: A hash table (dictionary/map) to store each name and the next suffix number. Algorithmic Approach: Iterative processing with constant-time checks and updates using the hash table.