Homework 3: Higher-Order Functions, Self Reference, Recursion, Tree Recursion
Due by 11:59pm on Tuesday, July 7
Instructions
Download hw03.zip. Inside the archive, you will find a file called
hw03.py, along with a copy of the ok
autograder.
Submission: When you are done, submit with python3 ok
--submit
. You may submit more than once before the deadline; only the
final submission will be scored. Check that you have successfully submitted
your code on okpy.org. See Lab 0 for more instructions on
submitting assignments.
Using Ok: If you have any questions about using Ok, please refer to this guide.
Readings: You might find the following references useful:
Grading: Homework is graded based on correctness. Each incorrect problem will decrease the total score by one point. There is a homework recovery policy as stated in the syllabus. This homework is out of 3 points.
Required questions
Q1: Compose
Write a higher-order function composer
that returns two functions, func
and func_adder
.
func
is a one-argument function that applies all of the functions that have been composed so far to it. The functions are applied with the most recent function being applied first (see doctests and examples).
func_adder
is used to add more functions to our composition, and when called on another function g
, func_adder
should return a new func
, and a new func_adder
.
If no parameters are passed into composer
, the func
returned is the identity function.
For example:
>>> add_one = lambda x: x + 1
>>> square = lambda x: x * x
>>> times_two = lambda x: x + x
>>> f1, func_adder = composer()
>>> f1(1)
1
>>> f2, func_adder = func_adder(add_one)
>>> f2(1)
2 # 1 + 1
>>> f3, func_adder = func_adder(square)
>>> f3(3)
10 # 1 + (3**2)
>>> f4, func_adder = func_adder(times_two)
>>> f4(3)
37 # 1 + ((2 * 3) **2)
Hint: Your
func_adder
should return two argumentsfunc
andfunc_adder
. What function do we know that returnsfunc
andfunc_adder
?
def composer(func=lambda x: x):
"""
Returns two functions -
one holding the composed function so far, and another
that can create further composed problems.
>>> add_one = lambda x: x + 1
>>> mul_two = lambda x: x * 2
>>> f, func_adder = composer()
>>> f1, func_adder = func_adder(add_one)
>>> f1(3)
4
>>> f2, func_adder = func_adder(mul_two)
>>> f2(3) # should be 1 + (2*3) = 7
7
>>> f3, func_adder = func_adder(add_one)
>>> f3(3) # should be 1 + (2 * (3 + 1)) = 9
9
"""
def func_adder(g):
"*** YOUR CODE HERE ***"
return func, func_adder
Use Ok to test your code:
python3 ok -q composer
Q2: G function
A mathematical function G
on positive integers is defined by two
cases:
G(n) = n, if n <= 3
G(n) = G(n - 1) + 2 * G(n - 2) + 3 * G(n - 3), if n > 3
Write a recursive function g
that computes G(n)
. Then, write an
iterative function g_iter
that also computes G(n)
:
Hint: The
fibonacci
example in the tree recursion lecture is a good illustration of the relationship between the recursive and iterative definitions of a tree recursive problem.
def g(n):
"""Return the value of G(n), computed recursively.
>>> g(1)
1
>>> g(2)
2
>>> g(3)
3
>>> g(4)
10
>>> g(5)
22
>>> from construct_check import check
>>> # ban iteration
>>> check(HW_SOURCE_FILE, 'g', ['While', 'For'])
True
"""
"*** YOUR CODE HERE ***"
def g_iter(n):
"""Return the value of G(n), computed iteratively.
>>> g_iter(1)
1
>>> g_iter(2)
2
>>> g_iter(3)
3
>>> g_iter(4)
10
>>> g_iter(5)
22
>>> from construct_check import check
>>> # ban recursion
>>> check(HW_SOURCE_FILE, 'g_iter', ['Recursion'])
True
"""
"*** YOUR CODE HERE ***"
Use Ok to test your code:
python3 ok -q g
python3 ok -q g_iter
Q3: Missing Digits
Write the recursive function missing_digits
that takes a number n
that is sorted in increasing order (for example, 12289
is valid but 15362
and 98764
are not). It returns the number of missing digits in n
. A missing digit is a number between the first and last digit of n
of a that is not in n
.
Use recursion - the tests will fail if you use while or for loops.
def missing_digits(n):
"""Given a number a that is in sorted, increasing order,
return the number of missing digits in n. A missing digit is
a number between the first and last digit of a that is not in n.
>>> missing_digits(1248) # 3, 5, 6, 7
4
>>> missing_digits(1122) # No missing numbers
0
>>> missing_digits(123456) # No missing numbers
0
>>> missing_digits(3558) # 4, 6, 7
3
>>> missing_digits(35578) # 4, 6
2
>>> missing_digits(12456) # 3
1
>>> missing_digits(16789) # 2, 3, 4, 5
4
>>> missing_digits(19) # 2, 3, 4, 5, 6, 7, 8
7
>>> missing_digits(4) # No missing numbers between 4 and 4
0
>>> from construct_check import check
>>> # ban while or for loops
>>> check(HW_SOURCE_FILE, 'missing_digits', ['While', 'For'])
True
"""
"*** YOUR CODE HERE ***"
Use Ok to test your code:
python3 ok -q missing_digits
Q4: Count change
Once the machines take over, the denomination of every coin will be a power of two: 1-cent, 2-cent, 4-cent, 8-cent, 16-cent, etc. There will be no limit to how much a coin can be worth.
Given a positive integer total
, a set of coins makes change for total
if
the sum of the values of the coins is total
. For example, the following
sets make change for 7
:
- 7 1-cent coins
- 5 1-cent, 1 2-cent coins
- 3 1-cent, 2 2-cent coins
- 3 1-cent, 1 4-cent coins
- 1 1-cent, 3 2-cent coins
- 1 1-cent, 1 2-cent, 1 4-cent coins
Thus, there are 6 ways to make change for 7
. Write a recursive function
count_change
that takes a positive integer total
and returns the number of
ways to make change for total
using these coins of the future.
Hint: Refer the implementation of
count_partitions
for an example of how to count the ways to sum up to a total with smaller parts. If you need to keep track of more than one value across recursive calls, consider writing a helper function.
def count_change(total):
"""Return the number of ways to make change for total.
>>> count_change(7)
6
>>> count_change(10)
14
>>> count_change(20)
60
>>> count_change(100)
9828
>>> from construct_check import check
>>> # ban iteration
>>> check(HW_SOURCE_FILE, 'count_change', ['While', 'For'])
True
"""
"*** YOUR CODE HERE ***"
Watch the hints video below for somewhere to start:
Use Ok to test your code:
python3 ok -q count_change
Submit
Make sure to submit this assignment by running:
python3 ok --submit
Just for Fun Questions
The first question below used to be required (but caused students lots of trouble)! You're welcome to try it. The second question demonstrates that it's possible to write recursive functions without assigning them a name in the global frame.
Q5: Towers of Hanoi
A classic puzzle called the Towers of Hanoi is a game that consists of three
rods, and a number of disks of different sizes which can slide onto any rod.
The puzzle starts with n
disks in a neat stack in ascending order of size on
a start
rod, the smallest at the top, forming a conical shape.
The objective of the puzzle is to move the entire stack to an end
rod,
obeying the following rules:
- Only one disk may be moved at a time.
- Each move consists of taking the top (smallest) disk from one of the rods and sliding it onto another rod, on top of the other disks that may already be present on that rod.
- No disk may be placed on top of a smaller disk.
Complete the definition of move_stack
, which prints out the steps required to
move n
disks from the start
rod to the end
rod without violating the
rules. The provided print_move
function will print out the step to move a
single disk from the given origin
to the given destination
.
Hint: Draw out a few games with various
n
on a piece of paper and try to find a pattern of disk movements that applies to anyn
. In your solution, take the recursive leap of faith whenever you need to move any amount of disks less thann
from one rod to another. If you need more help, see the following hints.
print
effectively "collects" all the results in the terminal as long as you make sure that the moves are printed in order.
def print_move(origin, destination):
"""Print instructions to move a disk."""
print("Move the top disk from rod", origin, "to rod", destination)
def move_stack(n, start, end):
"""Print the moves required to move n disks on the start pole to the end
pole without violating the rules of Towers of Hanoi.
n -- number of disks
start -- a pole position, either 1, 2, or 3
end -- a pole position, either 1, 2, or 3
There are exactly three poles, and start and end must be different. Assume
that the start pole has at least n disks of increasing size, and the end
pole is either empty or has a top disk larger than the top n start disks.
>>> move_stack(1, 1, 3)
Move the top disk from rod 1 to rod 3
>>> move_stack(2, 1, 3)
Move the top disk from rod 1 to rod 2
Move the top disk from rod 1 to rod 3
Move the top disk from rod 2 to rod 3
>>> move_stack(3, 1, 3)
Move the top disk from rod 1 to rod 3
Move the top disk from rod 1 to rod 2
Move the top disk from rod 3 to rod 2
Move the top disk from rod 1 to rod 3
Move the top disk from rod 2 to rod 1
Move the top disk from rod 2 to rod 3
Move the top disk from rod 1 to rod 3
"""
assert 1 <= start <= 3 and 1 <= end <= 3 and start != end, "Bad start/end"
"*** YOUR CODE HERE ***"
Watch the hints video below for somewhere to start:
Use Ok to test your code:
python3 ok -q move_stack
Q6: Anonymous factorial
The recursive factorial function can be written as a single expression by using a conditional expression.
>>> fact = lambda n: 1 if n == 1 else mul(n, fact(sub(n, 1)))
>>> fact(5)
120
However, this implementation relies on the fact (no pun intended) that
fact
has a name, to which we refer in the body of fact
. To write a
recursive function, we have always given it a name using a def
or
assignment statement so that we can refer to the function within its
own body. In this question, your job is to define fact recursively
without giving it a name!
Write an expression that computes n
factorial using only call
expressions, conditional expressions, and lambda expressions (no
assignment or def statements). Note in particular that you are not
allowed to use make_anonymous_factorial
in your return expression.
The sub
and mul
functions from the operator
module are the only
built-in functions required to solve this problem:
from operator import sub, mul
def make_anonymous_factorial():
"""Return the value of an expression that computes factorial.
>>> make_anonymous_factorial()(5)
120
>>> from construct_check import check
>>> # ban any assignments or recursion
>>> check(HW_SOURCE_FILE, 'make_anonymous_factorial', ['Assign', 'AugAssign', 'FunctionDef', 'Recursion'])
True
"""
return 'YOUR_EXPRESSION_HERE'
Use Ok to test your code:
python3 ok -q make_anonymous_factorial