How to use the prefect.engine.result_handlers.JSONResultHandler function in prefect

def test_create_task_with_and_without_result_handler(self):
        t1 = Task()
        assert t1.result_handler is None
        t2 = Task(result_handler=JSONResultHandler())
        assert isinstance(t2.result_handler, ResultHandler)
        assert isinstance(t2.result_handler, JSONResultHandler)

def test_basic_safe_result_repr():
    r = SafeResult(2, result_handler=JSONResultHandler())
    assert repr(r) == ""

def test_serialize_state_with_handled_result(cls):
    res = Result(value=1, result_handler=JSONResultHandler())
    res.store_safe_value()
    state = cls(message="message", result=res)
    serialized = StateSchema().dump(state)
    assert isinstance(serialized, dict)
    assert serialized["type"] == cls.__name__
    assert serialized["message"] == "message"
    assert serialized["_result"]["type"] == "SafeResult"
    assert serialized["_result"]["value"] == "1"
    assert serialized["__version__"] == prefect.__version__

    "obj", [SafeResult(value=19, result_handler=JSONResultHandler()), NoResult]
)
def test_state_result_schema_chooses_schema(obj):
    schema = StateResultSchema()
    assert type(schema.load(schema.dump(obj))) == type(obj)

def test_json_handler_raises_normally(self):
        handler = JSONResultHandler()
        with pytest.raises(TypeError):
            handler.write(type(None))

def test_task_failure_caches_inputs_automatically(client):
    @prefect.task(max_retries=2, retry_delay=timedelta(seconds=100))
    def is_p_three(p):
        if p == 3:
            raise ValueError("No thank you.")

    with prefect.Flow("test") as f:
        p = prefect.Parameter("p")
        res = is_p_three(p)

    state = CloudFlowRunner(flow=f).run(return_tasks=[res], parameters=dict(p=3))
    assert state.is_running()
    assert isinstance(state.result[res], Retrying)
    exp_res = Result(3, result_handler=JSONResultHandler())
    assert not state.result[res].cached_inputs["p"] == exp_res
    exp_res.store_safe_value()
    assert state.result[res].cached_inputs["p"] == exp_res

    last_state = client.set_task_run_state.call_args_list[-1][-1]["state"]
    assert isinstance(last_state, Retrying)
    assert last_state.cached_inputs["p"] == exp_res

def test_create_task_with_and_without_result_handler(self):
        t1 = Task()
        assert t1.result_handler is None
        t2 = Task(result_handler=JSONResultHandler())
        assert isinstance(t2.result_handler, ResultHandler)
        assert isinstance(t2.result_handler, JSONResultHandler)

def test_safe_result_inits_with_both_args(self):
        res = SafeResult(value="3", result_handler=JSONResultHandler())
        assert res.value == "3"
        assert res.result_handler == JSONResultHandler()
        assert res.safe_value is res

def test_serialize(self):
        serialized = ResultHandlerSchema().dump(JSONResultHandler())
        assert isinstance(serialized, dict)

Args:
            - state (State): the current state of this task
            - inputs (Dict[str, Result], optional): a dictionary of inputs whose keys correspond
                to the task's `run()` arguments.

        Returns:
            - State: the state of the task after running the check
        """
        if state.is_failed():
            run_count = prefect.context.get("task_run_count", 1)
            if prefect.context.get("task_loop_count") is not None:
                loop_context = {
                    "_loop_count": Result(
                        value=prefect.context["task_loop_count"],
                        result_handler=JSONResultHandler(),
                    ),
                    "_loop_result": Result(
                        value=prefect.context.get("task_loop_result"),
                        result_handler=self.result_handler,
                    ),
                }
                inputs.update(loop_context)
            if run_count <= self.task.max_retries:
                start_time = pendulum.now("utc") + self.task.retry_delay
                msg = "Retrying Task (after attempt {n} of {m})".format(
                    n=run_count, m=self.task.max_retries + 1
                )
                retry_state = Retrying(
                    start_time=start_time,
                    cached_inputs=inputs,
                    message=msg,