How to use the gluonts.core.serde.dump_json function in gluonts

def assert_serializable(x: transform.Transformation):
    t = fqname_for(x.__class__)
    y = load_json(dump_json(x))
    z = load_code(dump_code(x))
    assert dump_json(x) == dump_json(
        y
    ), f"Code serialization for transformer {t} does not work"
    assert dump_code(x) == dump_code(
        z
    ), f"JSON serialization for transformer {t} does not work"

)

    compare_vals(len(bar02.x_list), len(bar02.x_list), len(bar03.x_list))
    compare_vals(len(bar02.x_dict), len(bar02.x_dict), len(bar03.x_dict))
    compare_vals(
        len(bar02.input_fields),
        len(bar02.input_fields),
        len(bar03.input_fields),
    )

    compare_vals(bar02.x_list, bar02.x_list, bar03.x_list)
    compare_vals(bar02.x_dict, bar02.x_dict, bar03.x_dict)
    compare_vals(bar02.input_fields, bar02.input_fields, bar03.input_fields)

    baz01 = Baz(a="0", b="9", c=Complex(x="1", y="2"), d="42")
    baz02 = load_json(dump_json(baz01))

    assert type(baz01) == type(baz02)
    assert baz01 == baz02

for i in range(5)
    ]
    x_dict = {
        i: Foo(
            b=random.uniform(0, B),
            a=str(random.randint(0, A)),
            c=Complex(
                x=str(random.uniform(0, C)), y=str(random.uniform(0, C))
            ),
        )
        for i in range(6)
    }

    bar01 = Bar(x_list, input_fields=fields, x_dict=x_dict)
    bar02 = load_code(dump_code(bar01))
    bar03 = load_json(dump_json(bar02))

    def compare_tpes(x, y, z, tpe):
        assert tpe == type(x) == type(y) == type(z)

    def compare_vals(x, y, z):
        assert x == y == z

    compare_tpes(bar02.x_list, bar02.x_list, bar03.x_list, tpe=list)
    compare_tpes(bar02.x_dict, bar02.x_dict, bar03.x_dict, tpe=dict)
    compare_tpes(
        bar02.input_fields, bar02.input_fields, bar03.input_fields, tpe=list
    )

    compare_vals(len(bar02.x_list), len(bar02.x_list), len(bar03.x_list))
    compare_vals(len(bar02.x_dict), len(bar02.x_dict), len(bar03.x_dict))
    compare_vals(

Serializes a representable Gluon block.

    Parameters
    ----------
    rb
        The block to export.
    model_dir
        The path where the model will be saved.
    model_name
        The name identifying the model.
    epoch
        The epoch number, which together with the `model_name` identifies the
        model parameters.
    """
    with (model_dir / f"{model_name}-network.json").open("w") as fp:
        print(dump_json(rb), file=fp)
    rb.save_parameters(str(model_dir / f"{model_name}-{epoch:04}.params"))

print(dump_json(self.input_transform), file=fp)

        # FIXME: also needs to serialize the output_transform

        # serialize all remaining constructor parameters
        with (path / "parameters.json").open("w") as fp:
            parameters = dict(
                batch_size=self.batch_size,
                prediction_length=self.prediction_length,
                freq=self.freq,
                ctx=self.ctx,
                dtype=self.dtype,
                forecast_generator=self.forecast_generator,
                input_names=self.input_names,
            )
            print(dump_json(parameters), file=fp)

def _upload_estimator(self, locations, estimator):
        logger.info("Uploading estimator config to s3.")

        serialized = serde.dump_json(estimator)

        with self._s3fs.open(locations.estimator_path, "w") as estimator_file:
            estimator_file.write(serialized)