This problem can be solved using a simple approach. Here is a step-by-step guide on how to solve it: 1. Read the number of individuals (N) from the input. 2. Read the positions of the individuals (X1, X2, ..., XN) from the input. 3. Initialize two variables, min and max, to 1. These variables will hold the minimum and maximum possible number of infected people. 4. Iterate over the positions of the individuals. For each position, calculate the number of individuals within a distance of 2 units. If this number is greater than max, update max. If this number is less than min, update min. 5. After iterating over all positions, print the values of min and max. Here is a Python code snippet that implements this approach: ```python N = int(input()) positions = list(map(int, input().split())) min_infected = max_infected = 1 for i in range(N): left = i - 1 right = i + 1 count = 1 while left = 0 and positions[i] - positions[left]

Question

This problem can be solved using a simple approach. Here is a step-by-step guide on how to solve it:

1. Read the number of individuals (N) from the input.
2. Read the positions of the individuals (X1, X2, ..., XN) from the input.
3. Initialize two variables, min and max, to 1. These variables will hold the minimum and maximum possible number of infected people.
4. Iterate over the positions of the individuals. For each position, calculate the number of individuals within a distance of 2 units. If this number is greater than max, update max. If this number is less than min, update min.
5. After iterating over all positions, print the values of min and max.

Here is a Python code snippet that implements this approach:

```python
N = int(input())
positions = list(map(int, input().split()))
min_infected = max_infected = 1
for i in range(N):
    left = i - 1
    right = i + 1
    count = 1
    while left >= 0 and positions[i] - positions[left] <= 2:
        count += 1
        left -= 1
    while right < N and positions[right] - positions[i] <= 2:
        count += 1
        right += 1
    min_infected = min(min_infected, count)
    max_infected = max(max_infected, count)
print(min_infected, max_infected)
```

This code first reads the number of individuals and their positions. It then iterates over the positions and for each position, it counts the number of individuals within a distance of 2 units. It updates the minimum and maximum number of infected individuals accordingly. Finally, it prints the minimum and maximum number of infected individuals.

Knowee AI · Accepted Answer

This problem can be solved using a simple approach. Here is a step-by-step guide on how to solve it:

1. Read the number of individuals (N) from the input.
2. Read the positions of the individuals (X1, X2, ..., XN) from the input.
3. Initialize two variables, min and max, to 1. These variables will hold the minimum and maximum possible number of infected people.
4. Iterate over the positions of the individuals. For each position, calculate the number of individuals within a distance of 2 units. If this number is greater than max, update max. If this number is less than min, update min.
5. After iterating over all positions, print the values of min and max.

Here is a Python code snippet that implements this approach:

```python
N = int(input())
positions = list(map(int, input().split()))
min_infected = max_infected = 1
for i in range(N):
    left = i - 1
    right = i + 1
    count = 1
    while left >= 0 and positions[i] - positions[left] <= 2:
        count += 1
        left -= 1
    while right < N and positions[right] - positions[i] <= 2:
        count += 1
        right += 1
    min_infected = min(min_infected, count)
    max_infected = max(max_infected, count)
print(min_infected, max_infected)
```

This code first reads the number of individuals and their positions. It then iterates over the positions and for each position, it counts the number of individuals within a distance of 2 units. It updates the minimum and maximum number of infected individuals accordingly. Finally, it prints the minimum and maximum number of infected individuals.

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