Assume that BlogComment is a structured type with these fields, comment (a string, the actual comment), and two int fields: like, dislike which count the number of "likes" and "dislikes" of the comment by visitors. Assume that nComments is an int variable that holds the length of an array named blogComments whose elements are of type BlogComment. This array has been declared and initialized. You may assume that the array is not empty.
Assume that an string variable mostControversial has been declared. Write the necessary code that traverses the blogComments array and find the entry that is most controversial and assign its comment field to mostControversial. Measure the degree of controversy by multiplying likes and dislikes. (See how it works? Imagine 10 comments. If that is 10 likes and no dislikes, it is not controversial and 10 times 0 is 0. But if it is evenly split, 5 and 5, then it is controversial, and 5 times 5 is 25... a lot more than 0.)
To find the entry that is most controversial in the `blogComments` array and assign its `comment` field to the variable `mostControversial`, you can use a loop to traverse the array and compare the controversy degree of each entry.
Here is the code to accomplish this:
```python
most_controversial = ""
max_controversy_degree = -1
for i in range(nComments):
comment = blogComments[i].comment
likes = blogComments[i].likes
dislikes = blogComments[i].dislikes
controversy_degree = likes * dislikes
if controversy_degree > max_controversy_degree:
max_controversy_degree = controversy_degree
most_controversial = comment
```
Explanation:
1. We initialize the variables `most_controversial` as an empty string and `max_controversy_degree` as -1. These variables will be used to keep track of the most controversial entry and its controversy degree.
2. We use a `for` loop to iterate through each entry in the `blogComments` array. The loop variable `i` starts from 0 and goes up to `nComments - 1`.
3. Inside the loop, we extract the `comment`, `likes`, and `dislikes` fields from the current `BlogComment` entry.
4. We calculate the controversy degree by multiplying the `likes` and `dislikes` fields.
5. We compare the controversy degree with the current maximum controversy degree (`max_controversy_degree`). If the current controversy degree is greater, we update `max_controversy_degree` and assign the `comment` to `most_controversial`.
6. After the loop finishes, `most_controversial` will contain the comment of the most controversial entry in the array.