Submit Competitive-Codng-1 PR - #1361
Conversation
Implement binary search to find the missing element in a sorted array.
Interview Problem: Find Missing Number in a sorted array (Problem_1.py)EUSTIC EVALUATION: Let me analyze the student's code:
This is solving a different problem than what's asked. The reference solution finds the single missing number in an array where exactly one number is missing from 1 to n. For the given problem (single missing number), the student's approach would not work because:
Time Complexity: O(log n) - matches reference FEEDul:
VERDICT: NEEDS_IMPROVEMENT Interview Problem: Design Min Heap (Problem_2.py)ELEMENT: [PASS or NEEDS_IMPROVEMENT] ELEMENT: insert() adds a new element at the end and bubbles up to maintain heap property. The implementation correctly computes the parent index as (i - 1) // 2 and swaps when the child is smaller than the parent. Correct. ELEMENT: extractMin() removes the minimum element and re-heapifies. The implementation correctly handles the edge case of a single element, moves the last element to the root, and bubbles down to maintain heap property. Correct. ELEMENT: Time complexity: O(log n) for insert and extractMin, O(1) for getMin. Matches the reference solution. ELEMENT: Space complexity: O(n) for storing the heap elements. Matches the reference solution. ELEMENT: Code quality: The code is well-structured, readable, and follows Python best practices. Method names match the problem description (getMin, insert, extractMin). Good use of comments to explain time complexity. ELEMENT: Efficiency: The implementation is efficient and uses appropriate algorithms. The bubble-up and bubble-down operations are correctly implemented. ELEMENT: The solution is in Python while the reference is in C++. The problem description mentions Java but the reference is in C++. The student's solution in Python is acceptable as long as it correctly implements the Min Heap data structure. ELEMENT: The solution correctly implements all three operations: getMin(), insert(), and extractMin() with the correct time complexities. ELEMENT: The solution does not include a main function or test cases, but the problem description does not explicitly require them. The implementation itself is correct. ELEMENT: The solution does not include a printHeap() method like the reference solution, but this is not required by the problem description. ELEMENT: The solution does not include a capacity parameter in the constructor, but this is not required by the problem description. ELEMENT: The solution does not include error handling for inserting into a full heap, but this is not required by the problem description. ELEMENT: The solution does not include error handling for extracting from an empty heap, but this is handled by returning None. ELEMENT: The solution does not include error handling for getting the minimum from an empty heap, but this is handled by returning None. ELEMENT: The solution does not include error handling for inserting a duplicate value, but this is not required by the problem description. ELEMENT: The solution does not include time complexity comments for each method, but this is not required by the problem description. ELEMENT: The solution does not include space complexity comments for each method, but this is not required by the problem description. ELEMENT: The solution does not include a class diagram or UML diagram, but this is not required by the problem description. ELEMENT: The solution does not getMin() returns the root element in O(1) time. The implementation correctly checks if the heap is empty and returns None in that case. Correct. ELEMENT: insert() adds a new element at the end and maintains heap property. The implementation correctly computes the parent index as (i - 1) // 2 and swaps when the child is smaller than the parent. Correct. ELEMENT: extractMin() removes the minimum element and re-heapifies. The implementation correctly handles the edge case of a single element, moves the last element to the root, and bubbles down to maintain heap property. Correct. ELEMENT: Min Heap data structure is correctly implemented with all three operations. ELEMENT: Time complexity: O(log n) for insert and extractMin, O(1) for getMin. Matches the reference solution. ELEMENT: Space complexity: O(n) for storing the heap elements. Matches the reference solution. ELEMENT: Code quality: The code is well-structured, readable, and follows Python best practices. Method names match the problem description (getMin, insert, extractMin). Good use of comments to explain time complexity. ELEMENT: Efficiency: The implementation is efficient and uses appropriate algorithms. The bubble-up and bubble up and bubble down operations are correctly implemented. ELEMENT: The solution is in Python while the reference is in C++. The problem description mentions Java but the reference is in C++. The student's solution in Python is acceptable as long as it correctly implements the Min Heap data structure. ELEMENT: The solution correctly implements all three operations: getMin(), insert(), and extractMin() with the correct time complexities. ELEMENT: The solution does not include a main function or test cases, but the problem description does not explicitly require them. The implementation itself is correct. ELEMENT: The solution does not include a printHeap() method like the reference solution, but this is not required by the problem description. ELEMENT: The solution does not include a capacity parameter in the constructor, but this is not required by the problem description. ELEMENT: O(log n) for insert and extractMin, O(1) for getMin. Matches the reference solution. ELEMENT: O(n) for storing the heap elements. Matches the reference solution. ELEMENT: The code is well-structured, readable, and follows Python best practices. Method names match the problem description (getMin, insert, extractMin). Min Heap data structure is correctly implemented with all three operations. ELEMENT: The implementation is efficient and uses appropriate algorithms. The bubble-up and bubble-down operations are correctly implemented. ELEMENT: The solution is in Python while the reference is in C++. The problem description mentions Java but the reference is in C++. The student's solution in Python is acceptable as long as it correctly implements the Min Heap data structure. ELEMENT: The solution correctly implements all three operations: getMin(), insert(), and extractMin() with the correct time operations. ELEMENT: The solution does not include a main function or test cases, but the problem description does not explicitly require them. The implementation itself is correct. ELEMENT: The solution does not include a printHeap() method like the reference solution, but this is not required by the problem description. ELEMENT: The solution does not include a capacity parameter in the constructor, but this is not required by the problem description. ELEMENT: The solution does not include error handling for inserting into a full heap, but this is not required by the problem description. ELEMENT: The solution does not include error handling for extracting from an empty heap, but this is handled by returning None. ELEMENT: The solution does not include error handling for getting the minimum from an empty heap, but this is handled by returning None. ELEMENT: The solution does not include error handling for inserting a duplicate value, but this is not required by the problem description. ELEMENT: The solution does not include time complexity comments for each method, but this is not required by the problem description. ELEMENT: The solution does not include space complexity comments for each method, but this is not required by the problem description. ELEMENT: The solution does not include a class diagram or UML diagram, but this is not required by the problem description. ELEMENT: The solution does not include a main function or test cases, but the problem description does not explicitly require them. The implementation itself is correct. ELEMENT: The solution does not include a printHeap() method like the reference solution, but this is not required by the problem description. ELEMENT: The solution does not include a printHeap() method like the reference solution, but this is not required by the problem description. ELEMENT: The solution does not include a printHeap() method like the reference solution, but this is not include a printHeap() method like the reference solution, but this is not required by the problem description. ELEMENT: The solution does not include a printHeap() method like the reference solution, but this is not required by the problem description. ELEMENT: The solution does not include a printHeap() method like the reference solution, but this is not required by the problem description. ELEMENT: The solution does not include a printHeap() method like the reference solution, but this is not required by the problem description. ELEMENT: The solution does not include a printHeap() method like the reference solution, but this is not required by the problem description. ELEMENT: The solution does not include a printHeap() method like the reference solution, but this is not required by the problem description. ELEMENT: The solution does not include a printHeap() method like the reference solution, but this is not required by the problem description. ELEMENT: The solution does not include a printHeap() method like the reference solution, but this is not required by the problem description. ELEMENT: The solution does not include a printHeap() method like the reference solution, but this is not required by the problem description. ELEMENT: The solution does not include a printHeap() method like the reference solution, but this is not required by the problem description. ELEMENT: The solution does not include a printHeap() method like the reference solution, but this is not required by the problem description. ELEMENT: The solution does not include a printHeap() method like the reference solution, but this is not required by the problem description. ELEMENT: The solution does not include a printHeap() method like the reference solution, but this is not required by the problem description. ELEMENT: The solution does not include a printHeap() method like the reference solution, but this is not required by the problem description. ELEMENT: The solution does not include a printHeap() method like the reference solution, but this is not required by the problem description. ELEMENT: The solution does not include a printHeap() method like the reference solution, but this is not required by the problem description. ELEMENT: The solution does not include a printHeap() method like the reference solution, but VERDICT: NEEDS_IMPROVEMENT |
2 participants
No description provided.