One value of test-driven development methodology is that it encourages you to understand the desired behavior more thoroughly before writing the code.

True

False

Activity : 1 point(s)

Will the following scenario pass or fail? class Calculator(object): def add(self, x, y): pass

class Example(unittest.TestCase): def test_calculator_add_method_returns_correct_result(self): calc = Calculator() result = calc.add(2,2) self.assertEqual(4, result)

I don't know

Depends

Pass

Fail

Activity : 1 point(s)

What is the following code for?

import unittest class Example(unittest.TestCase): def test_calculator_add_method_returns_correct_result(self): calc = Calculator() result = calc.add(2,2) self.assertEqual(4, result)

Adds a method to calculator class for addition.

Tests if the code can do calculator addition in general.

Tests if the code can add 2 + 2 correctly.

Adds a method to the calculator class for the addition of 2 + 2.

Activity : 1 point(s)

__________ library offers much more flexibility by allowing you to write your tests in real Python code.

unittest

doctest

testme

Testpython

Activity : 1 point(s)

Which unittest method would you use to verify that calling a function with particular arguments raises a specific type of exception?

assertRaises

assertTrue

raiseTrue

assertFalse