curriculum/challenges/english/blocks/learn-special-methods-by-building-a-vector-space/65f4520e363e2642f8112e33.md
As you can see, something is not quite right. The norm and __str__ methods inherited from R2Vector cannot adapt to a 3-dimensional vector. Their implementation has to be more flexible.
Every object in Python has a special attribute named __dict__, which is a dictionary that stores the object attributes.
Remove the existing print calls. Then, print the __dict__ attribute of your v1 and v2 vectors to see what they look like.
You should not have print(v2) and print(v2.norm()) in your code.
({
test: () => {
assert.isFalse(runPython(`_Node(_code).has_call("print(v2)")`));
assert.isFalse(runPython(`_Node(_code).has_call("print(v2.norm())")`));
}
})
You should print the __dict__ attribute of v1 and v2.
({ test: () => assert(runPython(`
(_Node(_code).has_call("print(v1.__dict__)") and _Node(_code).has_call("print(v2.__dict__)")) or _Node(_code).has_call("print(v1.__dict__, v2.__dict__)")
`)) })
class R2Vector:
def __init__(self, *, x, y):
self.x = x
self.y = y
def norm(self):
return (self.x**2 + self.y**2)**0.5
def __str__(self):
return f'{self.x, self.y}'
class R3Vector(R2Vector):
def __init__(self, *, x, y, z):
super().__init__(x=x, y=y)
self.z = z
--fcc-editable-region--
v1 = R2Vector(x=2, y=3)
v2 = R3Vector(x=2, y=2, z=3)
print(v2.norm())
print(v2)
--fcc-editable-region--