In this assignment, you will explore a dataset containing information about various movies, mirroring the kind of data you might find in an IMDB database. The data is a list of dictionaries, each representing a movie's details. This list is available in a file named movies$\_$data.py$.$ Specifically, each dictionary contains the following details for each movie: title $("$Title$"),$ director $("$Director$"),$ release year $("$Year$"),$ rating $("$Rating$"),$ genre $("$Genre$"),$ and a list of main actors $("$Main$\_$Actors"$).$ You can inspect the data by opening movies$\_$data.py in your editor. The data should look like this:

movies$\_$list $=[$

$\{\text{'}$Title$\text{'}$: 'Inception',

'Director': 'Christopher Nolan',

'Year: $2010,$

'Rating': $8\mathrm{.}8,$

'Genre': 'Action',

'Main$\_$Actors': $[\text{'}$Leonardo DiCaprio', 'Joseph Gordon$-$Levitt', 'Ellen

Page'$]\},$

$1$

To read the list of dictionaries movies$\_$data.py you should follow these steps:

$1.$ Make sure the movies$\_$data.py file is in the same directory as your Python script assignment$\_2.$py$.$

$2.$ Import the list of movies by adding the following line at the top of your script: from movies$\_$data import movies$\_$list

Question $1(20$ points$)$

Write a function named get$\_$movie$\_$rating$\_$category. This function should accept a single movie$\_$name $($string$)$ as an input. It searches the movies$\_$list for a movie by the given name and returns its rating category based on the scale below:

Excellent: $8\mathrm{.}0-10$

Good: $6\mathrm{.}0-7\mathrm{.}9$

Average: $4\mathrm{.}0-5\mathrm{.}9$

Poor: Below $4\mathrm{.}0$

If the movie is not found, the function should return "Movie not found in the list."

Example:

print$($get$\_$movie$\_$rating$\_$category$("$Inception$"))$

print$($get$\_$movie$\_$rating$\_$category$("$Nonexistent Movie"$))$

Returns: "Excellent"

"Movie not found in the list."

Answer the questions with explanation