Lab 8: Object-Oriented Programming
Due at 11:59:59 pm on Tuesday, 04/06/2021.
Starter Files
Download lab08.zip. Inside the archive, you will find starter files for the questions in this lab, along with a copy of the OK autograder.
Submission
By the end of this lab, you should have submitted the lab with python3 ok --submit
. You may submit more than once before the deadline; only the final submission will be graded. Check that you have successfully submitted your code on okpy.org. See this article for more instructions on okpy and submitting assignments.
- Submit the
lab08.py
file took
.
OOP terminology
Object-oriented programming (OOP) is a style of programming that
allows you to think of code in terms of "objects." Here's an example of
a Car
class:
class Car(object):
num_wheels = 4
gas = 30
headlights = 2
size = 'Tiny'
def __init__(self, make, model):
self.make = make
self.model = model
self.color = 'No color yet. You need to paint me.'
self.wheels = Car.num_wheels
self.gas = Car.gas
def paint(self, color):
self.color = color
return self.make + ' ' + self.model + ' is now ' + color
def drive(self):
if self.wheels < Car.num_wheels or self.gas <= 0:
return 'Cannot drive!'
self.gas -= 10
return self.make + ' ' + self.model + ' goes vroom!'
def pop_tire(self):
if self.wheels > 0:
self.wheels -= 1
def fill_gas(self):
self.gas += 20
return 'Gas level: ' + str(self.gas)
Here's some terminology:
- class: a blueprint for how to build a certain type of object.
The
Car
class (shown above) describes the behavior and data that allCar
objects have. instance: a particular occurrence of a class. In Python, we create instances of a class like this:
>>> my_car = Car('Tesla', 'Model S')
my_car
is an instance of theCar
class.attribute or field: a variable that belongs to the class. Think of an attribute as a quality of the object: cars have wheels and size, so we have given our
Car
classself.wheels
andself.size
attributes. We can access attributes using dot notation:>>> my_car.size 'Tiny' >>> my_car.wheels 4
method: Methods are just like normal functions, except that they are tied to an instance or a class. Think of a method as a "verb" of the class: cars can drive and also pop their tires, so we have given our
Car
class the methodsdrive
andpop_tire
. We call methods using dot notation:>>> my_car = Car('Tesla', 'Model S') >>> my_car.drive() 'Tesla Model S goes vroom!'
constructor: As with data abstraction, constructors describe how to build an instance of the class. Most classes have a constructor. In Python, the constructor of the class defined as
__init__
. For example, here is theCar
class's constructor:def __init__(self, make, model): self.make = make self.model = model self.color = 'No color yet. You need to paint me.' self.wheels = Car.num_wheels self.gas = Car.gas
The constructor takes in two arguments,
make
andmodel
. As you can see, the constructor also creates theself.color
,self.wheels
andself.gas
attributes.self
: in Python,self
is the first parameter for many methods (in this class, we will only use methods whose first parameter isself
). When a method is called,self
is bound to an instance of the class. For example:>>> my_car = Car('Tesla', 'Model S') >>> my_car.drive()
Notice that the
drive
method takes inself
as an argument, but it looks like we didn't pass one in! This is because the dot notation implicitly passes incar
asself
for us.
Car WWPD
Question 1: Car
Use OK to test your knowledge with the following What would Python print questions:
python3 ok -q car -u
If you get stuck try typing these in the interpreter yourself
python3 -i
Keyboard
Question 2: Keyboard
We'd like to create a Keyboard
class that takes in an arbitrary
number of Button
s and stores these Button
s in a dictionary. The
keys in the dictionary will be ints that represent the position on the
Keyboard
, and the values will be the respective Button
. Fill out
the methods in the Keyboard
class according to each description,
using the doctests as a reference for the behavior of a Keyboard
.
class Keyboard:
"""A Keyboard takes in a list of buttons, and has a
dictionary of positions as keys, and Buttons as values.
>>> b1 = Button("button1", "H")
>>> b2 = Button("button2", "I")
>>> k = Keyboard([b1, b2])
>>> "button1" in k.buttons.keys() # Make sure to add the button to dictionary
True
>>> k.buttons["button1"].letter
'H'
>>> k.buttons["button1"].name
'button1'
>>> k.press("button1")
'H'
>>> k.press("button100")
''
>>> b1.pressed
1
>>> b2.pressed
0
>>> k.typing(["button1", "button2"])
'HI'
>>> k.typing(["button2", "button1"])
'IH'
>>> b1.pressed # make sure typing calls press!
3
>>> b2.pressed
2
"""
def __init__(self, buttons):
self.buttons = {}
"*** YOUR CODE HERE ***"
for button in buttons:
self.buttons[button.name] = button
def press(self, name):
"""Takes in a position of the button pressed, and
returns that button's output. Return an empty string
if the button does not exist. You can access the keys
of a dictionary d with d.keys(). """
"*** YOUR CODE HERE ***"
if name in self.buttons.keys():
b = self.buttons[name]
b.pressed += 1
return b.letter
return ''
def typing(self, typing_input):
"""Takes in a list of buttons to be pressed, and
returns the total output. Make sure to call self.press"""
"*** YOUR CODE HERE ***"
accumulate = ''
for name in typing_input:
accumulate+=self.press(name)
return accumulate
class Button:
def __init__(self, name, letter):
self.name = name
self.letter = letter
self.pressed = 0
Use OK to test your code:
python3 ok -q Keyboard
Table
In this lab, you will implement a version of the Table object from Data 8, that we are calling T88ble
, appropriately pronounced T-88-bel. We aren't going to make you implement every single function, but we have table.select()
ed the functions table.where(difficulty, are.below(insane))
and table.where(concepts, are.equal_to(relevant))
.
Notice that we are representing tables here as a list of rows.
Question 3: Basic
Complete the num_rows
, num_cols
, and labels
functions according to the docstrings.
def num_rows(self):
"""
Compute the number of rows in a table.
>>> simple_table = T88ble(simple_table_rows, simple_table_labels)
>>> simple_table.num_rows()
2
>>> longer_table = T88ble(longer_table_rows, longer_table_labels)
>>> longer_table.num_rows()
3
"""
"*** YOUR CODE HERE ***"
return len(self.rows)
def num_cols(self):
"""
Compute the number of cols in a table.
>>> simple_table = T88ble(simple_table_rows, simple_table_labels)
>>> simple_table.num_cols()
2
>>> longer_table = T88ble(longer_table_rows, longer_table_labels)
>>> longer_table.num_cols()
5
"""
"*** YOUR CODE HERE ***"
return len(self.rows[0])
def labels(self):
"""
Lists the column labels in a table.
>>> simple_table = T88ble(simple_table_rows, simple_table_labels)
>>> simple_table.labels()
['Flavor', 'Price']
>>> longer_table = T88ble(longer_table_rows, longer_table_labels)
>>> labels = longer_table.labels() # Make sure to return and not print
>>> labels
['Year', 'Bread price', 'Eggs price', 'Average tank of gas', 'Rent per day']
"""
"*** YOUR CODE HERE ***"
return self.column_labels
Use OK to test your code:
python3 ok -q T88ble.num_rows
Use OK to test your code:
python3 ok -q T88ble.num_cols
Use OK to test your code:
python3 ok -q T88ble.labels
Question 4: Column Methods
Complete the column
, select
, and with_column
functions according to the docstrings.
You might find the list.index(value)
function to be particularly useful for this problem.
Check out the python docs here
def column(self, label):
"""
Returns the values of the column represented by label.
>>> simple_table = T88ble(simple_table_rows, simple_table_labels)
>>> simple_table.column("Flavor")
['chocolate', 'vanilla']
>>> longer_table = T88ble(longer_table_rows, longer_table_labels)
>>> column = longer_table.column("Eggs price")
>>> column # Make sure to return and not print
[1.5, 2.5, 4]
>>> longer_table # Make sure not to mutate the original table
['Year', 'Bread price', 'Eggs price', 'Average tank of gas', 'Rent per day']
[1990, 1, 1.5, 12, 7]
[2000, 2, 2.5, 25, 10]
[2010, 5, 4, 70, 36]
"""
"*** YOUR CODE HERE ***"
label_index = self.labels().index(label)
return [row[label_index] for row in self.rows]
def with_column(self, label, values):
"""
Returns a new table with an additional or replaced column.
label is a string for the name of a column, values is an list
>>> longer_table = T88ble(longer_table_rows, longer_table_labels)
>>> new_table = longer_table.with_column('Inflation rate', [i for i in range(longer_table.num_rows())])
>>> new_table
['Year', 'Bread price', 'Eggs price', 'Average tank of gas', 'Rent per day', 'Inflation rate']
[1990, 1, 1.5, 12, 7, 0]
[2000, 2, 2.5, 25, 10, 1]
[2010, 5, 4, 70, 36, 2]
>>> longer_table # Make sure not to mutate the original table
['Year', 'Bread price', 'Eggs price', 'Average tank of gas', 'Rent per day']
[1990, 1, 1.5, 12, 7]
[2000, 2, 2.5, 25, 10]
[2010, 5, 4, 70, 36]
"""
"*** YOUR CODE HERE ***"
new_rows = [self.rows[i][:] + [values[i]] for i in range(self.num_rows())]
new_labels = self.labels()[:] + [label]
return T88ble(new_rows, new_labels)
def select(self, labels):
"""
Create a copy of a table with only some of the columns,
reffered to by the list of labels.
>>> simple_table = T88ble(simple_table_rows, simple_table_labels)
>>> simple_table.select(["Flavor"])
['Flavor']
['chocolate']
['vanilla']
>>> simple_table
['Flavor', 'Price']
['chocolate', 2]
['vanilla', 1]
>>> longer_table = T88ble(longer_table_rows, longer_table_labels)
>>> selected = longer_table.select(['Year', 'Average tank of gas'])
>>> selected # Make sure to return and not print
['Year', 'Average tank of gas']
[1990, 12]
[2000, 25]
[2010, 70]
>>> longer_table
['Year', 'Bread price', 'Eggs price', 'Average tank of gas', 'Rent per day']
[1990, 1, 1.5, 12, 7]
[2000, 2, 2.5, 25, 10]
[2010, 5, 4, 70, 36]
"""
"*** YOUR CODE HERE ***"
label_indices = [self.labels().index(label) for label in labels]
new_rows = [[row[i] for i in label_indices] for row in self.rows]
return T88ble(new_rows, labels)
Use OK to test your code:
python3 ok -q T88ble.column
Use OK to test your code:
python3 ok -q T88ble.with_column
Use OK to test your code:
python3 ok -q T88ble.select
Question 5: Where
Complete the where
function according to the docstring.
def where(self, label, filter_fn):
"""
Create a copy of a table with only the rows that match a filter function.
>>> def above(x):
... return lambda y: y > x
...
>>> longer_table = T88ble(longer_table_rows, longer_table_labels)
>>> filtered = longer_table.where('Eggs price', above(2))
>>> filtered
['Year', 'Bread price', 'Eggs price', 'Average tank of gas', 'Rent per day']
[2000, 2, 2.5, 25, 10]
[2010, 5, 4, 70, 36]
>>> longer_table
['Year', 'Bread price', 'Eggs price', 'Average tank of gas', 'Rent per day']
[1990, 1, 1.5, 12, 7]
[2000, 2, 2.5, 25, 10]
[2010, 5, 4, 70, 36]
"""
"*** YOUR CODE HERE ***"
label_index = self.labels().index(label)
new_rows = [row[:] for row in self.rows if filter_fn(row[label_index])]
return T88ble(new_rows, self.labels())
Use OK to test your code:
python3 ok -q T88ble.where
Submit
Make sure to submit this assignment by running:
python3 ok --submit