# Name
# CSE 160
# Autumn 2025
# Coding Practice 6

# Problem 1
"""
You want to cook a multi-course meal. You create a dictionary
that keeps the ingredients you need for each recipe. Before you
go to the store, you want to sort through the ingredients so you 
only have each ingredient once.


Write a function, set_shopping_list() that returns the set of
unique ingredients you will need for all meals. Return your
result as a set.
"""

# Write your solution to Problem 1 here

"""
Example:

meal = {"Salad": ["Tomato", "Mozzarella", "Olive oil"],
	   "Pasta": ["Pasta", "Tomato", "Mozzarella", "Pesto", "Garlic"],
	   "Garlic bread": ["Bread", "Garlic", "Olive oil"]}

set_shopping_list(meal) --> {"Tomato", "Mozzarella", "Olive oil", "Pasta", 
                             "Pesto", "Garlic", "Bread"}
"""





# Problem 2
"""
You graduate from UW and have 3 job offers lined up (you rock!).
You are trying to decide where to move to. Each job is in 
a different city: Seattle, San Francisco, and Portland. You found
a few open apartments in different neighborhoods within those cities
and want to decide which job to take based on where to find the 
cheapest apartment. 

Write a function, find_cheapest() that will take in the apartments as a 
nested structure (dictionary of dictionaries) and return the city, 
neighborhood, and price of the cheapest apartment as a tuple
"""

# Write our solution to Problem 2 here




"""
Example

apartments = {"Seattle": {"U Village": [1400, 1600, 1200],
		  		    "Capital Hill": [900, 1000, 900],
		  		    "Fremont": [1000, 1100, 950]},
 		     "San Francisco": {"Mission": [1300, 1100, 1000],
   		                       "Chinatown": [1000, 950, 1100],
   			                   "Marine": [1500, 1300, 1200]},
              "Portland": {"Pearl": [1000, 1300, 1100],
                           "Downtown": [900, 850, 1100],
 		                   "Southeast": [1100, 1250, 1300]}}

find_cheapest(apartments) --> ("Portland", "Downtown", 850)

"""