Is there a Spock-like testing library for Python

Question

I've worked with Spock and loved the 'where' clause, which allows you to easily exercise the test case with multiple inputs and outputs. For example:

class HelloSpock extends spock.lang.Specification {
    def "length of Spock's and his friends' names"() {
        expect:
            name.size() == length

        where:
            name     | length
            "Spock"  | 5
            "Kirk"   | 4
            "Scotty" | 6
    }
} 

Is there something similar for Python?

Answer 1

Yes, there is!

I'm the author of Nimoy - a framework that was built with the purpose of being Spock for Python.

You can create data driven tests:

from nimoy.specification import Specification

class MySpec(Specification):

    def my_feature_method(self):
        with given:
            a = value_of_a
            b = value_of_b

        with expect:
            (a * b) == expected_value

        with where:
            value_of_a | value_of_b | expected_value
            1          | 10         | 10
            2          | 20         | 40

You can stage mocks:

from unittest import mock
from nimoy.specification import Specification

class MySpec(Specification):

    def my_feature_method(self):
        with setup:
            the_mock = mock.Mock()

        with when:
            the_mock.some_method() << [5, 6, 7]

        with then:
            the_mock.some_method() == 5
            the_mock.some_method() == 6
            the_mock.some_method() == 7

And we have pretty mock assertions as well:

from unittest import mock
from nimoy.specification import Specification

class MySpec(Specification):

    def my_feature_method(self):
        with setup:
            the_mock = mock.Mock()

        with when:
            the_mock.some_method('abcd', True)

        with then:
            1 * the_mock.some_method('abcd', True)

Answer 2

pytest allows you to parametrise a test function:

import pytest
@pytest.mark.parametrize(("input", "expected"), [
    ("3+5", 8),
    ("2+4", 6),
    ("6*9", 42),
])
def test_eval(input, expected):
    assert eval(input) == expected