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How to use reqs_kwonly method in hypothesis

Best Python code snippet using hypothesis

test_annotations.py

...54    # Testing kwonly lambdas, with and without varargs and default values55    assert get_pretty_function_description(lam) == source56def test_given_notices_missing_kwonly_args():57    @given(a=st.none())58    def reqs_kwonly(*, a, b):59        pass60    with pytest.raises(InvalidArgument):61        reqs_kwonly()62def test_converter_handles_kwonly_args():63    def f(*, a, b=2):64        pass65    out = convert_positional_arguments(f, (), {"a": 1})66    assert out == ((), {"a": 1, "b": 2})67def test_converter_notices_missing_kwonly_args():68    def f(*, a, b=2):69        pass70    with pytest.raises(TypeError):71        assert convert_positional_arguments(f, (), {})72def pointless_composite(draw: None, strat: bool, nothing: list) -> int:73    return 374def return_annot() -> int:75    return 4  # per RFC 1149.5 / xckd 221...

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