Practice Problems

Finish the function add_quantity(item_dict, quantities) that “zips” quantities onto their corresponding items inside each category, returning a nested dictionary:

  • It takes a dictionary item_dict and a list quantities as input, the lengths of item_dict and quantities are the same.

  • For dict item_dict, keys are category names (strings), values are lists of unique item names (strings), each list contains at least one item (no empty lists).

  • For list quantities, it contains the quantity for each item in item_dict. Quantities are given in the same order as the items appear in item_dict when iterated in insertion order, category by category, left to right.

  • The total number of quantities equals the total number of items in all categories combined.

  • The function should return a new nested dictionary where the outer dictionary keys are the category names, the inner dictionary keys are the item names, and the inner dictionary values are the quantities.

Example Input

Expected Output

add_quantity({"Fruits": ["Apples", "Bananas"], "Bakery": ["Bagels"]}, [3, 4, 6])

{"Fruits": {"Apples": 3, "Bananas": 4}, "Bakery": {"Bagels": 6}}

add_quantity({"Drinks": ["Coffee", "Tea", "Juice"]}, [10, 5, 7])

{"Drinks": {"Coffee": 10, "Tea": 5, "Juice": 7}}

add_quantity({"Dairy": ["Milk"]}, [1])

{"Dairy": {"Milk": 1}}
Finish the function get_average_score() below:

  • It takes one dictionary student_information representing student data, where keys are student names, and values are dictionaries containing information about the student, including their age and a list of course they took and the grades.

  • You need to calculate the average grades for each student and then store the students whose average grade is higher than or equal to 80 in a dictionary.

  • It returns a dictionary average_score where keys are student names, and values are the average grades for each student.

Example Input

Expected Output

get_average_score({"Alice": {"age": 20, "courses": {"Math": 90}}, "Bob": {"age": 22, "courses": {"Math": 87, "History": 92, "Science": 85}}})

{"Alice": 90, "Bob": 80}

get_average_score("Bob": {"age": 22, "courses": {"Math": 75, "History": 85}}, "Charlie": { "age": 21, "courses": {"Math": 70, "History": 60}})

{"Bob": 80}

get_average_score("Bob": {"age": 22, "courses": {"Math": 92, "History", 86}})

{"Bob": 89}
Finish the function get_vegetarian_menu(menu_items): below:

  • It takes a list of tuples menu_items as input, each tuple contains (name, category, price, is_vegetarian).

  • It returns a new nested dictionary that only contains the items from menu_items where is_vegetarian is True.

    • The outer dictionary keys are category such as “Soup”, “Pizza”, “Pasta”, “Salad”.

    • The inner dictionary keys are name and values are price for each vegetarian item of that category.

Example Input

Expected Output

get_vegetarian_menu([("Margherita", "Pizza", 15, True), ("Pepperoni", "Pizza", 22, False), ("Hawaiian", "Pizza", 10, True), ("Caesar", "Salad", 10, True)])

{"Pizza": {"Margherita": 15, "Hawaiian": 10}, "Salad": {"Caesar": 10}}

get_vegetarian_menu([("Margherita", "Pizza", 15, True), ("Pepperoni", "Pizza", 22, False), ("Olive-Walnut", "Pasta", 20, True), ("Caesar", "Salad", 10, True)])

{"Pizza": {"Margherita": 15}, "Pasta": {"Olive-Walnut": 20}, "Salad": {"Caesar": 10}}

get_vegetarian_menu([("Lentil", "Soup", 15, True), ("Salmorejo", "Soup", 18, True), ("Harvest", "Salad", 18, False), ("Tuna Poke", "Salad", 20, False)])

{"Soup": {"Lentil": 15, "Salmorejo": 18}

Write a function, get_order_totals(), that takes a list of tuples and returns a nested dictionary with the same information. Each tuple includes 3 values; the first is the person’s name, the second is item name, and the third is the quantity. Note that there may be more than one tuple for the same person and item - your dictionary should total all the quantities for the same person and item.

Example Input

Expected Output

get_order_totals([('Holden', 'pizza', 1), ('Cristina', 'taco', 2), ('Holden', 'pizza', 1)])

{'Holden': {'pizza': 2}, 'Cristina': {'taco': 2}}

get_order_totals([('Holden', 'pizza', 1), ('Cristina', 'taco', 2)])

{'Holden': {'pizza': 1}, 'Cristina': {'taco': 2}}

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