How to use reqs_kwonly method in hypothesis

Best Python code snippet using hypothesis

test_annotations.py

Source:test_annotations.py Github

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...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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