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How to use test_not_infinite method in hypothesis

Best Python code snippet using hypothesis

test_direct_strategies.py

Source:test_direct_strategies.py

...361@pytest.mark.parametrize("value", [-1, 0, 1])362def test_no_infinity_for_min_max_values(value, parameter_name):363    kwargs = {"allow_infinity": False, parameter_name: value}364    @given(ds.floats(**kwargs))365    def test_not_infinite(xs):366        assert not math.isinf(xs)367    test_not_infinite()368@pytest.mark.parametrize("parameter_name", ["min_value", "max_value"])369@pytest.mark.parametrize("value", [-1, 0, 1])370def test_no_nan_for_min_max_values(value, parameter_name):371    kwargs = {"allow_nan": False, parameter_name: value}372    @given(ds.floats(**kwargs))373    def test_not_nan(xs):374        assert not math.isnan(xs)375    test_not_nan()376class Sneaky:377    """It's like a strategy, but it's not a strategy."""378    is_empty = False379    depth = 0380    label = 0381    def do_draw(self, data):...

test_users.py

Source:test_users.py

...22        generator = IDGenerator23        generator.MAX_ID_NUM = 424        generator.IDs_Used = {0, 1, 2}  # Only value available will be 325        self.assertEqual(generator.unique_id(), 3)26    def test_not_infinite(self):27        generator = IDGenerator28        generator.MAX_ID_NUM = 429        generator.IDs_Used = {0, 1, 2, 3}   # No available values30        with self.assertRaises(ValueError):...

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