I have a function that returns a tuple that, among others, contains a float value. Usually I use assertAlmostEquals to compare those, but this does not work with tuples. Also, the tuple contains other data-types as well. Currently I am asserting every element of the tuple individually, but that gets too much for a list of such tuples. Is there any good way to write assertions for such cases? Consider this function:

def f(a):return [(1.0/x, x * 2) for x in a]

Now I want to write a test for it:

def testF(self):self.assertEqual(f(range(1,3)), [(1.0, 2), (0.5, 4)])

This will fail because the result of 1.0/2 is not exactly 0.5. Can anyone recommend a good way of writing such an assertion in a readable way?

Edit: Actually 1.0/2 is exactly 0.5, but you get my meaning.

Well how about pimping up your function with couple of zips:

def testF(self):for tuple1, tuple2 in zip(f(range(1,3)), [(1.0, 2), (0.5, 4)]):for val1, val2 in zip(tuple1, tuple2):if type(val2) is float:self.assertAlmostEquals(val1, val2, 5)else:self.assertEquals(val1, val2)

My premise here is that it is better to use multiple asserts in a loop as to get the exact values where it breaks, vs. using single assert with all().

ps. If you have other numeric types you want to use assertAlmostEquals for, you can change the if above to e.g. if type(val2) in [float, decimal.Decimal]: