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How to use record_and_test_size method in hypothesis

Best Python code snippet using hypothesis

test_flatmap.py

Source:test_flatmap.py

...40    track = []41    db = ExampleDatabase()42    @given(constant_float_lists)43    @settings(database=db)44    def record_and_test_size(xs):45        if sum(xs) >= 1:46            track.append(xs)47            assert False48    with pytest.raises(AssertionError):49        record_and_test_size()50    assert track51    example = track[-1]52    track = []53    with pytest.raises(AssertionError):54        record_and_test_size()55    assert track[0] == example56def test_flatmap_does_not_reuse_strategies():57    s = lists(max_size=0).flatmap(just)58    assert s.example() is not s.example()59def test_flatmap_has_original_strategy_repr():60    ints = integers()61    ints_up = ints.flatmap(lambda n: integers(min_value=n))62    assert repr(ints) in repr(ints_up)63def test_mixed_list_flatmap():64    s = lists(65        booleans().flatmap(lambda b: booleans() if b else text())66    )67    def criterion(ls):68        c = Counter(type(l) for l in ls)...

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