Now that you’ve learned how to combine any two functions, let’s see how (and why) we can combine all three! A reason for doing this would be when you need to “filter” a collection before you “map” it (or “map” then “filter”) and then “reduce” it to a single number. To illustrate this in practice, let’s revisit the inventory problem from earlier, but this time we are only interested in the total sum of prices of items that sold for less than a certain value.

In this Python exercise, we are given the record of items represented by a dictionary. We are interested in the total sum of prices of items that sold for less than £150. We do this by:

- First “map” the items their individual total cost (
*(number of units sold) * (price per unit)*). - Then eliminate (“filter” out) all items that cost more than £150.
- Then “reduce” the individual costs to a single number that represents the total cost of the items.

We can do this with the following code:

from functools import reduce # Dictionary entry: {"name: (number_or_units_sold, price_per_unit_GBP)} costs = {"shirt": (4, 13.00), "shoes":(2, 80.00), "pants":(3, 100.00), "socks":(5, 5.00), "ties":(3, 14.00), "watch":(1, 145.00)} k = reduce(lambda x, y: x + y, filter(lambda r: r <= 150.00, map(lambda q: costs[q][0] * costs[q][1], costs))) print(k) # Output will be a total cost of: 264.0 GBP

The focus of the code is:

k = reduce(lambda x, y: x + y, filter(lambda r: r <= 150.00, map(lambda q: costs[q][0] * costs[q][1], costs)))

This first computes the total cost of each item using `map()`

:

map(lambda q: costs[q][0]*costs[q][1], costs)

Then `filter()`

is used to eliminate all items that cost more than £150:

filter(lambda r: r <= 150.00, map(lambda q: costs[q][0] * costs[q][1], costs))

Then `reduce()`

is used to compute the total sum:

reduce(lambda x, y: x + y, filter(lambda r: r <= 150.00, map(lambda q: costs[q][0] * costs[q][1], costs)))

This example demonstrates how to use the three functions together.

### Instructions

**1.**

Given the record of item sales `costs`

, find the total cost of items that cost more than £150. Assign the answer to variable `total`

. Make sure to print out your solution.

Use all three higher-order functions for this exercise.

**2.**

Given the tuple `nums`

, use `map()`

, `filter()`

, and `reduce()`

to find all numbers less than 10, add five to them, and find their total product. Assign the answer to variable `product`

. Make sure to print out your solution.