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pytest: assert almost equal

How to do assert almost equal with py.test for floats without resorting to something like:

assert x - 0.00001 <= y <= x + 0.00001

More specifically it will be useful to know a neat solution for quickly compare pairs of float, without unpacking them:

assert (1.32, 2.4) == i_return_tuple_of_two_floats()
py.test now has a feature that does this.
See this answer for a description of that feature

N
Neuron

I noticed that this question specifically asked about py.test. py.test 3.0 includes an approx() function (well, really class) that is very useful for this purpose.

import pytest

assert 2.2 == pytest.approx(2.3)
# fails, default is ± 2.3e-06
assert 2.2 == pytest.approx(2.3, 0.1)
# passes

# also works the other way, in case you were worried:
assert pytest.approx(2.3, 0.1) == 2.2
# passes

The documentation is here.


Nice! Also found it works for sequences of numbers too e.g. assert [0.1 + 0.2, 0.2 + 0.4] == pytest.approx([0.3, 0.6])
@Mr Kriss And even for dicts: assert {'a': 0.1+0.2} == pytest.approx({'a': 0.3})
This doesn't work for lists of lists: for example, assert [[0.1 + 0.2], [0.2 + 0.4]] == pytest.approx([[0.3], [0.6]]) leads to a TypeError. If found that Numpy's np.testing.assert_allclose([[0.1 + 0.2], [0.2 + 0.4]], [[0.3], [0.6]]) (see answer below) did work for this case.
It's worth noting that the second positional argument is relative tolerance, but you can specify absolute tolerance as well: 0.2 == pytest.approx(0.3, 0.1) # returns false; 0.2 == pytest.approx(0.3, abs=0.1) # returns true
I do believe it is [now] a function. def approx(expected, rel=None, abs=None, nan_ok: bool = False) -> ApproxBase:
y
yurib

You will have to specify what is "almost" for you:

assert abs(x-y) < 0.0001

to apply to tuples (or any sequence):

def almost_equal(x,y,threshold=0.0001):
  return abs(x-y) < threshold

assert all(map(almost_equal, zip((1.32, 2.4), i_return_tuple_of_two_floats())

The question asks how to do it "without resorting to something like" this
I interpret "something like this" as a repetitive and awkward expression like x - d <= y <= x+d, seems like that's what OP meant as well. If you don't wish to explicitly specify the threshold for 'almost', see @jiffyclub's answer.
py.test now has a feature that does this. I've added an answer discussing it.
@NeilG Why on earth should this be deleted? If there's something obviously wrong with it please explain what it is.
@user2699 The question is how to do this in pytest. The correct way to do it in pytest is to to use pytest.approx. Writing your own approximate function is a bad idea. (The one in this answer isn't even as good as the included one.)
M
Mike T

If you have access to NumPy it has great functions for floating point comparison that already do pairwise comparison with numpy.testing.

Then you can do something like:

numpy.testing.assert_allclose(i_return_tuple_of_two_floats(), (1.32, 2.4))

C
Community

These answers have been around for a long time, but I think the easiest and also most readable way is to use unittest for it's many nice assertions without using it for the testing structure.

Get assertions, ignore rest of unittest.TestCase

(based on this answer)

import unittest

assertions = unittest.TestCase('__init__')

Make some assertions

x = 0.00000001
assertions.assertAlmostEqual(x, 0)  # pass
assertions.assertEqual(x, 0)  # fail
# AssertionError: 1e-08 != 0

Implement original questions' auto-unpacking test

Just use * to unpack your return value without needing to introduce new names.

i_return_tuple_of_two_floats = lambda: (1.32, 2.4)
assertions.assertAlmostEqual(*i_return_tuple_of_two_floats())  # fail
# AssertionError: 1.32 != 2.4 within 7 places

J
John La Rooy

Something like

assert round(x-y, 5) == 0

That is what unittest does

For the second part

assert all(round(x-y, 5) == 0 for x,y in zip((1.32, 2.4), i_return_tuple_of_two_floats()))

Probably better to wrap that in a function

def tuples_of_floats_are_almost_equal(X, Y):
    return all(round(x-y, 5) == 0 for x,y in zip(X, Y))

assert tuples_of_floats_are_almost_equal((1.32, 2.4), i_return_tuple_of_two_floats())

v
validname

If you want something that works not only with floats but for example Decimals you can use python's math.isclose():

# - rel_tol=0.01` is 1% difference tolerance.
assert math.isclose(actual_value, expected_value, rel_tol=0.01)

Here relative tolerance (or percentage difference) is convenient to use in some use cases, e.g. scienfific.
v
volodymyr

I'd use nose.tools. It plays well with py.test runner and have other equally useful asserts - assert_dict_equal(), assert_list_equal(), etc.

from nose.tools import assert_almost_equals
assert_almost_equals(x, y, places=7) #default is 7 

Besides pytest has an option for this I don't consider a good option add an extra depency (in this case, a whole testing framwork) only for this.
P
Pluto

Could just use round()

a, b = i_return_tuple_of_two_floats()
assert (1.32, 2.4) == round(a,2), round(b,1)