Lab 6: Mutability
Due by 11:59pm on Friday, October 11.
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Required Questions
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Mutability
Consult the drop-down if you need a refresher on mutability. It's okay to skip directly to the questions and refer back here should you get stuck.
Some objects in Python, such as lists and dictionaries, are mutable, meaning that their contents or state can be changed. Other objects, such as numeric types, tuples, and strings, are immutable, meaning they cannot be changed once they are created.
The two most common mutation operations for lists are item assignment and the
append
method.
>>> s = [1, 3, 4]
>>> t = s # A second name for the same list
>>> t[0] = 2 # this changes the first element of the list to 2, affecting both s and t
>>> s
[2, 3, 4]
>>> s.append(5) # this adds 5 to the end of the list, affecting both s and t
>>> t
[2, 3, 4, 5]
There are many other list mutation methods:
append(elem)
: Addelem
to the end of the list. ReturnNone
.extend(s)
: Add all elements of iterables
to the end of the list. ReturnNone
.insert(i, elem)
: Insertelem
at indexi
. Ifi
is greater than or equal to the length of the list, thenelem
is inserted at the end. This does not replace any existing elements, but only adds the new elementelem
. ReturnNone
.remove(elem)
: Remove the first occurrence ofelem
in list. ReturnNone
. Errors ifelem
is not in the list.pop(i)
: Remove and return the element at indexi
.pop()
: Remove and return the last element.
Dictionaries also have item assignment (often used) and pop
(rarely used).
>>> d = {2: 3, 4: 16}
>>> d[2] = 4
>>> d[3] = 9
>>> d
{2: 4, 4: 16, 3: 9}
>>> d.pop(4)
16
>>> d
{2: 4, 3: 9}
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: List-Mutation
Important: For all WWPD questions, type
Function
if you believe the answer is<function...>
,Error
if it errors, andNothing
if nothing is displayed.
Use Ok to test your knowledge with the following "What Would Python Display?" questions:
python3 ok -q list-mutation -u
>>> s = [6, 7, 8]
>>> print(s.append(6))
______None
>>> s
______[6, 7, 8, 6]
>>> s.insert(0, 9)
>>> s
______[9, 6, 7, 8, 6]
>>> x = s.pop(1)
>>> s
______[9, 7, 8, 6]
>>> s.remove(x)
>>> s
______[9, 7, 8]
>>> a, b = s, s[:]
>>> a is s
______True
>>> b == s
______True
>>> b is s
______False
>>> a.pop()
______8
>>> a + b
______[9, 7, 9, 7, 8]
>>> s = [3]
>>> s.extend([4, 5])
>>> s
______[3, 4, 5]
>>> a
______[9, 7]
>>> s.extend([s.append(9), s.append(10)])
>>> s
______[3, 4, 5, 9, 10, None, None]
Q2: Insert Items
Write a function that takes in a list s
, a value before
, and a value
after
. It modified s
in place by inserting after
just after each
value equal to before
in s
. It returns s
.
Important: No new lists should be created.
Note: If the values passed into
before
andafter
are equal, make sure you're not creating an infinitely long list while iterating through it. If you find that your code is taking more than a few seconds to run, the function may be in an infinite loop of inserting new values.
def insert_items(s, before, after):
"""Insert after into s after each occurrence of before and then return s.
>>> test_s = [1, 5, 8, 5, 2, 3]
>>> new_s = insert_items(test_s, 5, 7)
>>> new_s
[1, 5, 7, 8, 5, 7, 2, 3]
>>> test_s
[1, 5, 7, 8, 5, 7, 2, 3]
>>> new_s is test_s
True
>>> double_s = [1, 2, 1, 2, 3, 3]
>>> double_s = insert_items(double_s, 3, 4)
>>> double_s
[1, 2, 1, 2, 3, 4, 3, 4]
>>> large_s = [1, 4, 8]
>>> large_s2 = insert_items(large_s, 4, 4)
>>> large_s2
[1, 4, 4, 8]
>>> large_s3 = insert_items(large_s2, 4, 6)
>>> large_s3
[1, 4, 6, 4, 6, 8]
>>> large_s3 is large_s
True
"""
"*** YOUR CODE HERE ***"
Use Ok to test your code:
python3 ok -q insert_items
Q3: Group By
Write a function that takes a list s
and a function fn
, and returns a dictionary that groups the elements of s
based on the result of applying fn
.
- The dictionary should have one key for each unique result of applying
fn
to elements ofs
. - The value for each key should be a list of all elements in
s
that, when passed tofn
, produce that key value.
In other words, for each element e
in s
, determine fn(e)
and add e
to the list corresponding to fn(e)
in the dictionary.
def group_by(s, fn):
"""Return a dictionary of lists that together contain the elements of s.
The key for each list is the value that fn returns when called on any of the
values of that list.
>>> group_by([12, 23, 14, 45], lambda p: p // 10)
{1: [12, 14], 2: [23], 4: [45]}
>>> group_by(range(-3, 4), lambda x: x * x)
{9: [-3, 3], 4: [-2, 2], 1: [-1, 1], 0: [0]}
"""
grouped = {}
for ____ in ____:
key = ____
if key in grouped:
____
else:
grouped[key] = ____
return grouped
Use Ok to test your code:
python3 ok -q group_by
Q4: Partial Reverse
Partially reversing the list [1, 2, 3, 4, 5]
starting from index 2 until the
end of the list will give [1, 2, 5, 4, 3]
.
Implement the function partial_reverse
which reverses a list starting from
index start
until the end of the list. This reversal should be in-place,
meaning that the original list is modified. Do not create a new list inside your
function, even if you do not return it. The partial_reverse
function returns
None
.
Hint: You can swap elements at index
i
andj
in lists
with multiple assignment:s[i], s[j] = s[j], s[i]
def partial_reverse(s, start):
"""Reverse part of a list in-place, starting with start up to the end of
the list.
>>> a = [1, 2, 3, 4, 5, 6, 7]
>>> partial_reverse(a, 2)
>>> a
[1, 2, 7, 6, 5, 4, 3]
>>> partial_reverse(a, 5)
>>> a
[1, 2, 7, 6, 5, 3, 4]
"""
"*** YOUR CODE HERE ***"
Use Ok to test your code:
python3 ok -q partial_reverse
Check Your Score Locally
You can locally check your score on each question of this assignment by running
python3 ok --score
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