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Dictionary Comprehensions

If list comprehensions build lists, dictionary comprehensions build dictionaries. Say you have a list of game records:

games = [
    {"game_id": "g-01", "title": "The Legend of Zelda", "status": "released"},
    {"game_id": "g-02", "title": "Silksong", "status": "delayed"},
    {"game_id": "g-03", "title": "Hades II", "status": "released"},
]

and want a dictionary where you can lookup game_id --> title. You can use a dictionary comprehension:

game_titles = {game["game_id"]: game["title"] for game in games}
print(game_titles)
# {'g-01': 'The Legend of Zelda', 'g-02': 'Silksong', 'g-03': 'Hades II'}

To filter records while creating the dictionary, you can optionally add an if condition:

released_titles = {
    game["game_id"]: game["title"] for game in games if game["status"] == "released"
}
print(released_titles)
# {'g-01': 'The Legend of Zelda', 'g-03': 'Hades II'}

So, to be precise, the syntax is:

{key_expression: value_expression for item in iterable if condition}

Assignment

Complete the map_active_models function. It accepts a list of device dictionaries and returns a new dictionary that maps each active device's device_id to its model name.

Use each active device's device_id as the key.
Use that device's model as the value.
Exclude devices where status is not "active".
Use a dictionary comprehension.