The problem is asking to implement a Min Heap data structure and perform the following operations:

1. `insert x`: Insert an element x into the Min Heap.
2. `delMin`: Delete the minimum element from the Min Heap.
3. `getMin`: Get the minimum element from the Min Heap.

Here is a Python solution using a list to implement the Min Heap:

```python
import heapq

T = int(input())
heap = []

for _ in range(T):
operation = input().split()

if operation[0] == "insert":
heapq.heappush(heap, int(operation[1]))
elif operation[0] == "delMin":
if heap:
heapq.heappop(heap)
else:
print("Empty")
elif operation[0] == "getMin":
if heap:
print(heap[0])
else:
print("Empty")
```

This solution uses the `heapq` module in Python which provides an implementation of the heap queue algorithm, also known as the priority queue algorithm. The `heappush` function is used to insert an element into the heap maintaining the heap invariant. The `heappop` function is used to delete the smallest element from the heap. If the heap is empty and we try to delete or get the minimum element, we print "Empty".

Question

The problem is asking to implement a Min Heap data structure and perform the following operations:

1. `insert x`: Insert an element x into the Min Heap.
2. `delMin`: Delete the minimum element from the Min Heap.
3. `getMin`: Get the minimum element from the Min Heap.

Here is a Python solution using a list to implement the Min Heap:

```python
import heapq

T = int(input())
heap = []

for _ in range(T):
    operation = input().split()
    
    if operation[0] == "insert":
        heapq.heappush(heap, int(operation[1]))
    elif operation[0] == "delMin":
        if heap:
            heapq.heappop(heap)
        else:
            print("Empty")
    elif operation[0] == "getMin":
        if heap:
            print(heap[0])
        else:
            print("Empty")
```

This solution uses the `heapq` module in Python which provides an implementation of the heap queue algorithm, also known as the priority queue algorithm. The `heappush` function is used to insert an element into the heap maintaining the heap invariant. The `heappop` function is used to delete the smallest element from the heap. If the heap is empty and we try to delete or get the minimum element, we print "Empty".

Knowee AI · Accepted Answer

The problem is asking to implement a Min Heap data structure and perform the following operations:

1. `insert x`: Insert an element x into the Min Heap.
2. `delMin`: Delete the minimum element from the Min Heap.
3. `getMin`: Get the minimum element from the Min Heap.

Here is a Python solution using a list to implement the Min Heap:

```python
import heapq

T = int(input())
heap = []

for _ in range(T):
    operation = input().split()
    
    if operation[0] == "insert":
        heapq.heappush(heap, int(operation[1]))
    elif operation[0] == "delMin":
        if heap:
            heapq.heappop(heap)
        else:
            print("Empty")
    elif operation[0] == "getMin":
        if heap:
            print(heap[0])
        else:
            print("Empty")
```

This solution uses the `heapq` module in Python which provides an implementation of the heap queue algorithm, also known as the priority queue algorithm. The `heappush` function is used to insert an element into the heap maintaining the heap invariant. The `heappop` function is used to delete the smallest element from the heap. If the heap is empty and we try to delete or get the minimum element, we print "Empty".

Question

Solution

Similar Questions

Upgrade your grade with Knowee