unittest - run the same test for a list of inputs and outputs

Check out DDT (Data-Driven/Decorated Tests).

DDT allows you to multiply a test case by running it with different test data, making it appear as multiple test cases.

consider this example, using DDT:

import unittest

from ddt import ddt, data, unpack


@ddt
class TestName(unittest.TestCase):

        # simple decorator usage:
        @data(1, 2)
        def test_greater_than_zero(self, value):
            self.assertGreater(value, 0)

        # passing data in tuples to achieve the 
        # scenarios from your given example:
        @data(('Bob', 'Bob'), ('Alice', 'Alice'))
        @unpack
        def test_name(self, first_value, second_value):
            name, expected_name = first_value, second_value
            self.assertEquals(name, expected_name)

if __name__ == '__main__':
        unittest.main(verbosity=2)

I defined 2 test methods in the above code, but 4 test cases will be run, using the data I supplied in the decorator.

Output:

test_greater_than_zero_1 (__main__.TestName) ... ok
test_greater_than_zero_2 (__main__.TestName) ... ok
test_name_('Alice', 'Alice') (__main__.TestName) ... ok
test_name_('Bob', 'Bob') (__main__.TestName) ... ok

----------------------------------------------------------------------
Ran 4 tests in 0.000s

OK

I would use a mixin or a metaclass here, as unittest looks for classes, not instances.

class TestMixin (object):
    def test_name ():
        print self.name

class TestName (unittest.TestCase, TestMixin):
    ...