Download Inside the archive, you will find starter files for the questions in this homework, along with a copy of the OK autograder.

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Question 1: Operation-inator

Dr. Doofenshmirtz is making a secret evil device that creates functions that do basic arithmetic operations using lambda functions. The operation-inator takes in an operation_string and returns a function that does that specific operation. The strings map to the functions like so:

  • "self" -> function that returns the input
  • "add one" -> function that adds one to the input
  • "multiply together" -> Takes in two inputs and returns them multiplied
  • "zero to self" -> takes in a positive integer and returns a list that counts up by ones from zero (inclusive) to the input (exclusive)

Help the good doctor implement his operation-inator by filling in the blanks with lambda functions.

See the doctests for more details.

def operation_inator(operation_string):
    >>> identity = operation_inator('self')
    >>> identity(5)
    >>> identity(6)
    >>> add_one = operation_inator('add one')
    >>> add_one(2)
    >>> add_one(3)
    >>> mul_together = operation_inator('multiply together')
    >>> mul_together(0, 1)
    >>> mul_together(3, 2)
    >>> zero_to_self = operation_inator('zero to self')
    >>> zero_to_self(3)
    [0, 1, 2]
    >>> zero_to_self(1)
    "*** YOUR CODE HERE ***"

Use OK to test your code:

python3 ok -q operation_inator

Question 2: Higher Order Lambdas

Return a lambda function that takes in a multiplier (the multiplier is a number) and returns a lambda function that will take in another number and will return the new input multiplied by the multiplier.

def higher_order_lambdas():
    Return a lambda function that takes in a multiplier and returns a lambda function that given an input will 
    return the input multiplied by the multiplier
    >>> hol = higher_order_lambdas()
    >>> doubles = hol(2)
    >>> doubles(3)
    >>> hol = higher_order_lambdas()
    >>> triples = hol(3)
    >>> triples(4)
    "*** YOUR CODE HERE ***"

Use OK to test your code:

python3 ok -q higher_order_lambdas

Question 3: Lambdas and Currying

We can transform multiple-argument functions into a chain of single-argument, higher order functions by taking advantage of lambda expressions. This is useful when dealing with functions that take only single-argument functions. We will see some examples of these later on.

Write a function lambda_curry2 that will curry any two argument function f2 using lambdas. See the doctest if you're not sure what this means.

def lambda_curry2(f2):
    Returns a Curried version of a two argument function func.
    >>> from operator import add
    >>> x = lambda_curry2(add)
    >>> y = x(3)
    >>> y(5)
    "*** YOUR CODE HERE ***"

Use OK to test your code:

python3 ok -q lambda_curry2


Question 4: Replace All

Given a dictionary d, return a new dictionary where all occurences of x as a value (not a key) is replaced with y.

def replace_all(d, x, y):
    >>> d = {'foo': 2, 'bar': 3, 'garply': 3, 'xyzzy': 99}
    >>> e = replace_all(d, 3, 'poof')
    >>> e == {'foo': 2, 'bar': 'poof', 'garply': 'poof', 'xyzzy': 99}
    "*** YOUR CODE HERE ***"

Use OK to test your code:

python3 ok -q replace_all

Question 5: Merge Dictionaries

Implement the function merge_dict. The merge_dict function merges two dictionaries with the same keys together by adding up their values for the corresponding keys and returning the resulting dictionary.

def merge_dict(dict1, dict2):
    """Returns a dictionary that is the result of two dictionaries being merged together. 
    Dictionaries are merged by adding up their values. You can assume that the same keys 
    appear in both dictionaries.
    >>> data8 = {"midterms":1, "projects":3}
    >>> data100 = {"midterms":2, "projects":3}
    >>> combined_exams = merge_dict(data8, data100)
    >>> combined_exams
    {'midterms': 3, 'projects': 6}
    >>> sunday_orders = {"pizza": 3, "hot dogs": 2, "fries": 5}
    >>> monday_orders = {"pizza": 1, "hot dogs": 1, "fries": 8}
    >>> combined_orders = merge_dict(sunday_orders, monday_orders)
    >>> combined_orders
    {'pizza': 4, 'hot dogs': 3, 'fries': 13}
    "*** YOUR CODE HERE ***"

Use OK to test your code:

python3 ok -q merge_dict


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