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Check if All Characters Have Equal Number of Occurrences
Check if a string has characters with equal occurrences using hash tables and string manipulation techniques.
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Practice Focus
Easy · Hash Table plus String
Answer-first summary
Check if a string has characters with equal occurrences using hash tables and string manipulation techniques.
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To solve this problem, count the occurrences of each character using a hash table. Then, verify if all the counts are equal. Efficient approaches can reduce unnecessary checks.
Problem Statement
You are given a string s consisting of lowercase English letters. Your task is to determine if the string is a 'good' string, meaning that all characters that appear in s have the same frequency of occurrences.
Return true if the string is good, otherwise return false. A string is good if, for every character in the string that occurs, it occurs the same number of times as the other characters in the string.
Examples
Example 1
Input: s = "abacbc"
Output: true
The characters that appear in s are 'a', 'b', and 'c'. All characters occur 2 times in s.
Example 2
Input: s = "aaabb"
Output: false
The characters that appear in s are 'a' and 'b'. 'a' occurs 3 times while 'b' occurs 2 times, which is not the same number of times.
Constraints
- 1 <= s.length <= 1000
- s consists of lowercase English letters.
Solution Approach
Count Character Frequencies
Build a dictionary or hash table to store the frequency of each character in the string. This allows us to efficiently track how many times each character appears in the string.
Check Frequency Consistency
Once we have the frequency counts, we can compare all the values in the hash table. If all frequencies are the same, return true; otherwise, return false.
Optimize with Early Exit
During the comparison phase, if we find a mismatch in the frequencies early on, we can immediately return false, optimizing the solution by avoiding further unnecessary checks.
Complexity Analysis
| Metric | Value |
|---|---|
| Time | Depends on the final approach |
| Space | Depends on the final approach |
The time complexity is O(n), where n is the length of the string, since we are iterating through the string once to build the frequency table and potentially once more to check the frequencies. The space complexity is O(k), where k is the number of unique characters in the string, as we store the frequencies in a hash table.
What Interviewers Usually Probe
- The candidate should efficiently build and check the frequency table.
- The candidate should consider edge cases like strings with only one type of character or strings with a large number of unique characters.
- The candidate should demonstrate an understanding of optimizing with early exits.
Common Pitfalls or Variants
Common pitfalls
- Forgetting to check the frequency consistency across all characters.
- Using inefficient data structures that lead to unnecessary computation or memory usage.
- Not handling strings with varying numbers of unique characters correctly.
Follow-up variants
- Modify the problem to include case-insensitive comparisons.
- Allow the string to contain non-English characters.
- Optimize the solution to handle very large strings with more efficient space usage.
FAQ
What is the key pattern for solving the 'Check if All Characters Have Equal Number of Occurrences' problem?
The key pattern for this problem is to use a hash table to count character frequencies, followed by checking if all the frequencies are the same.
How do I know if my solution is optimized for large inputs?
Ensure your solution runs in O(n) time complexity and uses space proportional to the number of unique characters in the string.
What are the common pitfalls when solving this problem?
Common pitfalls include failing to check the consistency of frequencies and using inefficient data structures.
Can I solve this problem without using a hash table?
While it's possible to solve this problem with other methods, using a hash table is the most efficient approach for counting and checking frequencies.
What other problems are similar to 'Check if All Characters Have Equal Number of Occurrences'?
Other similar problems involve frequency counting, such as 'Find the Most Frequent Character' or 'Group Anagrams'.
Solution
Solution 1: Counting
We use a hash table or an array of length $26$ called $\textit{cnt}$ to record the number of occurrences of each character in the string $s$.
class Solution:
def areOccurrencesEqual(self, s: str) -> bool:
return len(set(Counter(s).values())) == 1Continue Topic
hash table
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