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How to use slow_if_large method in hypothesis

Best Python code snippet using hypothesis

test_deadline.py

Source:test_deadline.py

...47        test_flaky_slow()48def test_deadlines_participate_in_shrinking():49    @settings(deadline=500, max_examples=1000)50    @given(st.integers(min_value=0))51    def slow_if_large(i):52        if i >= 1000:53            time.sleep(1)54    assert_falsifying_output(55        slow_if_large,56        expected_exception=DeadlineExceeded,57        i=1000,58    )59def test_keeps_you_well_above_the_deadline():60    seen = set()61    failed_once = [False]62    @settings(deadline=100)63    @given(st.integers(0, 2000))64    def slow(i):65        # Make sure our initial failure isn't something that immediately goes...

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