Completed Hashing problems

[LeelaTotapally]

No description provided.

[super30admin]

Grouping Anagrams Together (Problem-1.java)

Your solution correctly groups anagrams by sorting each string and using the sorted string as a key. This is a common and valid approach. However, there are a few points to consider:

• Time Complexity: Your solution has a time complexity of O(N * K log K), which is acceptable for the given constraints but could be improved to O(N * K) by using a prime number hashing technique or by counting characters. The reference solution uses such a method, which might be more efficient for very long strings.

• Code Comments: You correctly noted the time and space complexity, but remember to use uppercase 'O' for Big O notation (e.g., "O(n)" instead of "o(n)").

• Best Practices: Your code is clean and readable. However, you can avoid explicitly writing java.util.Arrays.sort by importing java.util.Arrays at the top (though it's not strictly necessary as it's often imported by default in many environments). Alternatively, you can just use Arrays.sort(arr).

• Edge Cases: Your solution handles edge cases like empty strings and single characters correctly.

Overall, your solution is good and meets the requirements. If you want to optimize further, consider using a character count array or prime number hashing to avoid sorting.

VERDICT: PASS

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Isomorphic Strings (Problem-2.java)

Your solution is correct and efficient, but here are a few suggestions for improvement:

1. Avoid converting the strings to character arrays. You can use charAt(i) directly in the loop to access characters, which saves memory and is equally efficient.
2. The problem constraints state that the strings have the same length, so the initial length check is unnecessary. You can remove it to simplify the code.
3. Instead of initializing a result variable and returning it at the end, you can directly return true after the loop. This reduces variable clutter.
4. Consider using more descriptive variable names, such as sToTMap and tToSMap, to make the code more self-explanatory.
5. Although your space complexity is O(1), note that using two maps is standard and efficient. However, you could also use arrays of size 256 (for ASCII) to map characters, which might be slightly faster in practice due to array indexing.

Overall, your approach is sound and you have a good understanding of the problem. Keep up the good work!

VERDICT: PASS

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Word Pattern (Problem-3.java)

Your solution is well-implemented and follows the correct approach. Here are some suggestions for improvement:

• Use proper Big O notation: "O(n)" instead of "o(n)" in your comments.
• Consider removing the result variable and directly returning false when a condition fails, as it simplifies the code. For example, you can return false immediately in the inner checks without setting result.
• Use more descriptive variable names: s1 and t1 could be named words and chars to improve readability.
• Ensure consistency in variable naming: pattern is passed as a string, but you convert it to a char array t1. It might be more efficient to work directly with the pattern string using charAt(i) to avoid creating an extra array, but this is a minor point.

Overall, your code is correct and efficient. Keep up the good work!

VERDICT: PASS