Peer Instruction: Classes Multiple Choice Questions

Q-1: Which of the following is not most likely not a method for a Car class?

• open_window
• Incorrect! Method describes a specific action associated with a Class. "open_window" is a possbile action.
• accelerate
• Incorrect! Method describes a specific action associated with a Class. "accelerate" is a possbile action
• num_wheels
• Correct! "num_wheels" is a possible attribute which describes a specific feature.
• turn_right
• Incorrect! Method describes a specific action associated with a Class. "turn_right" is a possbile action.
• I don't know
• Incorrect! Method describes a specific action associated with a Class.

Q-2: What does this code output?

class Point:

   def __init__ (self):
      self.x = 0
      self.y = 0

p1 = Point()
p1.x = p1.x + 2
p1.y = p1.x + 3
p2 = Point()
p2.x = p2.x + 4
print(p2.x, p2.y)

• 0 0
• Incorrect! Here, p2.x = 0 + 4 = 4 and p2.y = 0.
• 4 0
• Correct! Here, p2.x = 0 + 4 = 4 and p2.y = 0.
• 2 3
• Incorrect! Here, p2.x = 0 + 4 = 4 and p2.y = 0.
• 7 3
• Incorrect! Here, p2.x = 0 + 4 = 4 and p2.y = 0.
• I don't know
• Incorrect! Here, p2.x = 0 + 4 = 4 and p2.y = 0.

Q-3: If t is an object of class Thing and d, e, and f are defined, what is the proper way to call do_it?

class Thing(object):
   def do_it(self, a, b, c):
      ...

• do_it(d, e, f)
• Incorrect! You call a method using dot notation.
• do_it(self, d, e, f)
• Incorrect! You call a method using dot notation.
• do_it(t, d, e, f)
• Incorrect! You call a method using dot notation.
• t.do_it(d, e, f)
• Correct! Use dot notation on the object to call a method.
• t.do_it(t, d, e, f)
• Incorrect! Use dot notation and this will implicitly pass in the object as the first item, you don't also pass it in explicitly.

Q-4: What does this code output?

class Thing(object):

   def __init__(self, a, b):
      self.val = a * b

   def __str__(self):
      return '[' + str(self.val + 2) + ']'

t = Thing(4, 5)
print(t)

• 20
• Incorrect! Here, a = 4, b = 5 and self.val = a*b = 20. So, '[' + str(20 + 2) + ']' = [22].
• [20]
• Incorrect! Here, a = 4, b = 5 and self.val = a*b = 20. So, '[' + str(20 + 2) + ']' = [22].
• 22
• Incorrect! Here, a = 4, b = 5 and self.val = a*b = 20. So, '[' + str(20 + 2) + ']' = [22].
• [22]
• Correct! Here, a = 4, b = 5 and self.val = a*b = 20. So, '[' + str(20 + 2) + ']' = [22].
• I don't know
• Incorrect! Here, a = 4, b = 5 and self.val = a*b = 20. So, '[' + str(20 + 2) + ']' = [22].

Q-5: What does this code output?

class Account(object):
   def __init__(self, val):
      self.gold = val
   def __eq__(self, other):
      return self.gold==0 and other.gold==5

• Account(50) == Account(50)
• Incorrect! Account(50) assigns 50 to self.gold and when called again assigns 50 to other.gold too. So, the return statement evaluates to False (False and False).
• Account(80) == Account(90)
• Incorrect! Account(80) assigns 80 to self.gold and Account(90) assigns 90 to other.gold. So, the return statement evaluates to False (False and False).
• Account(0) == Account(5)
• Correct! Account(0) assigns 0 to self.gold and Account(5) assigns 5 to other.gold. So, the return statement evaluates to True.
• Account(0) == Account(0)
• Incorrect! Account(0) assigns 0 to self.gold and and when called again assigns 0 to other.gold too. So, the return statement evaluates to False (True and False).
• More than one of the above
• Incorrect! Account(0) assigns 0 to self.gold and Account(5) assigns 5 to other.gold. So, the return statement evaluates to True.

Q-6: Which code for __ne__ is correct?

• def __ne__(self, p):
     return not self == p
  

• Correct! self == p calls “__eq__”. So, it essentially returns self != p.

• def __ne__(self, p):
     return self.x == p.x and self.y == p.y
  

• Incorrect! It would return the opposite.

• def __ne__(self, p):
     if self.x =! p.x or self.y != p.y:
        return True
     return False
  

• Correct! If self != p, then the “if” condition would evaluate to True returning True. Otherwise, it would return False.

• I don’t know

• Incorrect!

Q-7: We want the point closer to the origin to be the lesser point. Which code is correct?

• def __lt__(self, p):
     if self.x < p.x and self.y < p.y:
        return True
     return False
  

• Incorrect! Consider negative numbers as well. For instance, (self.x = -1) > (p.x = -5) but self.x is near closer to the origin.

• def __lt__(self, p):
     if self.magnitude() < p.magnitude():
        return True
     return False
  

• Correct! This option uses magnitude and thus the relation stands true for negative numbers as well.

• def __lt__(self, p):
     my_val = math.sqrt(self.x**2 + self.y**2)
     p_val = math.sqrt(p.x**2 + p.y**2)
     if my_val < p_val:
        return True
     return False
  

• Correct! The equation “math.sqrt(x**2 + y**2)” measures the absolute distance of point (x, y) from (0, 0).

• I don’t know

• Incorrect!

Q-8: Which implementation for (__le__) is correct?

• def __le__(self, p):
     if self < p or self == p:
        return True
     return False
  

• Correct! self < p will invoke “__lt__” and self == p will invoke “__eq__”

• def __le__(self, p):
     if self.magnitude() <= p.magnitude():
        return True
     return False
  

• Incorrect! This will lead to erroneous results in case of negative co-ordinates.

• def __le__(self, p):
     if self.x <= p.x and self.y <= p.y:
        return True
     return False
  

• Incorrect! This would have been correct if “and” is replaced by “or”

• I don’t know

• Incorrect! Option A is correct. self < p will invoke “__lt__” and self == p will invoke “__eq__”

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