How to use slow_if_large method in hypothesis

Best Python code snippet using hypothesis

test_deadline.py

Source: test_deadline.py Github

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...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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