Lab 5 Solutions
Solution Files
Topics
Consult this section if you need a refresher on the material for this lab. It's okay to skip directly to the questions and refer back here should you get stuck.
Lists
A list is a data structure that can hold an ordered collection of items. These items, known as elements, can be of any data type, including numbers, strings, or even other lists. A comma-separated list of expressions in square brackets creates a list:
>>> list_of_values = [2, 1, 3, True, 3]
>>> nested_list = [2, [1, 3], [True, [3]]]
Each position in a list has an index, with the left-most element indexed 0
.
>>> list_of_values[0]
2
>>> nested_list[1]
[1, 3]
A negative index counts from the end, with the right-most element indexed -1
.
>>> nested_list[-1]
[True, [3]]
Adding lists creates a longer list containing the elements of the added lists.
>>> [1, 2] + [3] + [4, 5]
[1, 2, 3, 4, 5]
List Comprehensions
A list comprehension describes the elements in a list and evaluates to a new list containing those elements.
There are two forms:
[<expression> for <element> in <sequence>]
[<expression> for <element> in <sequence> if <conditional>]
Here's an example that starts with [1, 2, 3, 4]
, picks out the even elements
2
and 4
using if i % 2 == 0
, then squares each of these using i*i
. The
purpose of for i
is to give a name to each element in [1, 2, 3, 4]
.
>>> [i*i for i in [1, 2, 3, 4] if i % 2 == 0]
[4, 16]
This list comprehension evaluates to a list of:
- The value of
i*i
- For each element
i
in the sequence[1, 2, 3, 4]
- For which
i % 2 == 0
In other words, this list comprehension will create a new list that contains
the square of every even element of the original list [1, 2, 3, 4]
.
We can also rewrite a list comprehension as an equivalent for
statement,
such as for the example above:
>>> result = []
>>> for i in [1, 2, 3, 4]:
... if i % 2 == 0:
... result = result + [i*i]
>>> result
[4, 16]
For Statements
A for
statement executes code for each element of a sequence, such as a list or range. Each time the code is executed, the name right after for
is bound to a different element of the sequence.
for <name> in <expression>:
<suite>
First, <expression>
is evaluated. It must evaluate to a sequence. Then, for each element in the sequence in order,
<name>
is bound to the element.<suite>
is executed.
Here is an example:
for x in [-1, 4, 2, 0, 5]:
print("Current elem:", x)
This would display the following:
Current elem: -1
Current elem: 4
Current elem: 2
Current elem: 0
Current elem: 5
Ranges
A range is a data structure that holds integer sequences. A range can be created by:
range(stop)
contains 0, 1, ...,stop
- 1range(start, stop)
containsstart
,start
+ 1, ...,stop
- 1
Notice how the range function doesn't include the stop
value; it generates numbers up to, but not including, the stop
value.
For example:
>>> for i in range(3):
... print(i)
...
0
1
2
While ranges and lists are both sequences, a range object is different from a list. A range can be converted to a list by calling list()
:
>>> range(3, 6)
range(3, 6) # this is a range object
>>> list(range(3, 6))
[3, 4, 5] # list() converts the range object to a list
>>> list(range(5))
[0, 1, 2, 3, 4]
>>> list(range(1, 6))
[1, 2, 3, 4, 5]
Required Questions
Getting Started Videos
These videos may provide some helpful direction for tackling the coding problems on this assignment.
To see these videos, you should be logged into your berkeley.edu email.
Lists
Important: For all WWPD questions, type
Function
if you believe the answer is<function...>
,Error
if it errors, andNothing
if nothing is displayed.Important: For all WWPD questions, type
Function
if you believe the answer is<function...>
,Error
if it errors, andNothing
if nothing is displayed.Q1: WWPD: Lists & Ranges
Use Ok to test your knowledge with the following "What Would Python Display?" questions:
python3 ok -q lists-wwpd -u
Predict what Python will display when you type the following into the interactive interpreter. Then try it to check your answers.
>>> s = [7//3, 5, [4, 0, 1], 2]
>>> s[0]
______2
>>> s[2]
______[4, 0, 1]
>>> s[-1]
______2
>>> len(s)
______4
>>> 4 in s
______False
>>> 4 in s[2]
______True
>>> s[2] + [3 + 2]
______[4, 0, 1, 5]
>>> 5 in s[2]
______False
>>> s[2] * 2
______[4, 0, 1, 4, 0, 1]
>>> list(range(3, 6))
______[3, 4, 5]
>>> range(3, 6)
______range(3, 6)
>>> r = range(3, 6)
>>> [r[0], r[2]]
______[3, 5]
>>> range(4)[-1]
______3
Q2: Print If
Implement print_if
, which takes a list s
and a one-argument function f
. It prints each element x
of s
for which f(x)
returns a true value.
def print_if(s, f):
"""Print each element of s for which f returns a true value.
>>> print_if([3, 4, 5, 6], lambda x: x > 4)
5
6
>>> result = print_if([3, 4, 5, 6], lambda x: x % 2 == 0)
4
6
>>> print(result) # print_if should return None
None
"""
for x in s:
if f(x):
print(x)
Use Ok to test your code:
python3 ok -q print_if
Q3: Close
Implement close
, which takes a list of numbers s
and a non-negative integer k
. It returns how many of the elements of s
are within k
of their index. That is, the absolute value of the difference between the element and its index is less than or equal to k
.
Remember that list is "zero-indexed"; the index of the first element is
0
.
def close(s, k):
"""Return how many elements of s that are within k of their index.
>>> t = [6, 2, 4, 3, 5]
>>> close(t, 0) # Only 3 is equal to its index
1
>>> close(t, 1) # 2, 3, and 5 are within 1 of their index
3
>>> close(t, 2) # 2, 3, 4, and 5 are all within 2 of their index
4
>>> close(list(range(10)), 0)
10
"""
count = 0
for i in range(len(s)): # Use a range to loop over indices
if abs(i - s[i]) <= k:
count += 1 return count
Use Ok to test your code:
python3 ok -q close
List Comprehensions
Important: For all WWPD questions, type
Function
if you believe the answer is<function...>
,Error
if it errors, andNothing
if nothing is displayed.Q4: WWPD: List Comprehensions
Use Ok to test your knowledge with the following "What Would Python Display?" questions:
python3 ok -q list-comprehensions-wwpd -u
Predict what Python will display when you type the following into the interactive interpreter. Then try it to check your answers.
>>> [2 * x for x in range(4)]
______[0, 2, 4, 6]
>>> [y for y in [6, 1, 6, 1] if y > 2]
______[6, 6]
>>> [[1] + s for s in [[4], [5, 6]]]
______[[1, 4], [1, 5, 6]]
>>> [z + 1 for z in range(10) if z % 3 == 0]
______[1, 4, 7, 10]
Q5: Close List
Implement close_list
, which takes a list of numbers s
and a non-negative integer k
. It returns a list of the elements of s
that are within k
of their index. That is, the absolute value of the difference between the element and its index is less than or equal to k
.
def close_list(s, k):
"""Return a list of the elements of s that are within k of their index.
>>> t = [6, 2, 4, 3, 5]
>>> close_list(t, 0) # Only 3 is equal to its index
[3]
>>> close_list(t, 1) # 2, 3, and 5 are within 1 of their index
[2, 3, 5]
>>> close_list(t, 2) # 2, 3, 4, and 5 are all within 2 of their index
[2, 4, 3, 5]
"""
return [s[i] for i in range(len(s)) if abs(i - s[i]) <= k]
Use Ok to test your code:
python3 ok -q close_list
Q6: Squares Only
Implement the function squares
, which takes in a list of positive integers.
It returns a list that contains the square roots of the elements of the original
list that are perfect squares. Use a list comprehension.
To find if
x
is a perfect square, you can check ifsqrt(x)
equalsround(sqrt(x))
.
from math import sqrt
def squares(s):
"""Returns a new list containing square roots of the elements of the
original list that are perfect squares.
>>> seq = [8, 49, 8, 9, 2, 1, 100, 102]
>>> squares(seq)
[7, 3, 1, 10]
>>> seq = [500, 30]
>>> squares(seq)
[]
"""
return [round(n ** 0.5) for n in s if n == round(n ** 0.5) ** 2]
It might be helpful to construct a skeleton list comprehension to begin with:
[round(sqrt(x)) for x in s if is_perfect_square(x)]
This is great, but it requires that we have an is_perfect_square
function. How might we check if something is a perfect square?
- If the square root of a number is a whole number, then it is a perfect
square. For example,
sqrt(61) = 7.81024...
(not a perfect square) andsqrt(49) = 7
(perfect square). Once we obtain the square root of the number, we just need to check if something is a whole number. The
is_perfect_square
function might look like:def is_perfect_square(x): return is_whole(sqrt(x))
- One last piece of the puzzle: to check if a number is whole, we just
need to see if it has a decimal or not. The way we've chosen to do it in
the solution is to compare the original number to the round version
(thus removing all decimals), but a technique employing floor division
(
//
) or something else entirely could work too.
We've written all these helper functions to solve this problem, but they are actually all very short. Therefore, we can just copy the body of each into the original list comprehension, arriving at the solution we finally present.
Video walkthrough:
Use Ok to test your code:
python3 ok -q squares
Check Your Score Locally
You can locally check your score on each question of this assignment by running
python3 ok --score
This does NOT submit the assignment! When you are satisfied with your score, submit the assignment to Gradescope to receive credit for it.
Submit Assignment
Submit this assignment by uploading any files you've edited to the appropriate Gradescope assignment. Lab 00 has detailed instructions.