How to use the mirdata.jams_utils.jams_converter function in mirdata

]
    f0_data_6 = [(None, None)]
    f0_data_7 = [
        (
            utils.EventData(
                np.array([0.2, 0.3]),
                np.array([0.3, 0.4]),
                np.array(['event A', 'event B']),
            ),
            None,
        )
    ]

    jam_1 = jams_utils.jams_converter(f0_data=f0_data_1)
    jam_2 = jams_utils.jams_converter(f0_data=f0_data_2)
    jam_3 = jams_utils.jams_converter(f0_data=f0_data_3)
    jam_6 = jams_utils.jams_converter(f0_data=f0_data_6)

    time, duration, value, confidence = get_jam_data(jam_1, 'pitch_contour', 0)
    assert time == [0.016, 0.048]
    assert duration == [0.0, 0.0]
    assert value == [
        {'frequency': 0.0, 'index': 0, 'voiced': False},
        {'frequency': 260.9, 'index': 0, 'voiced': True},
    ]
    assert confidence == [0.0, 1.0]

    assert jam_2.annotations[0]['sandbox']['name'] == 'f0s_1'

    time, duration, value, confidence = get_jam_data(jam_3, 'pitch_contour', 0)
    assert time == [0.016, 0.048]
    assert duration == [0.0, 0.0]

jam_1 = jams_utils.jams_converter(lyrics_data=[(None, None)], metadata=metadata_1)

    assert jam_1['file_metadata']['title'] == 'Le ciel est blue'
    assert jam_1['file_metadata']['artist'] == 'Meatloaf'
    assert jam_1['file_metadata']['duration'] == 1.5
    assert jam_1['sandbox']['favourite_color'] == 'rainbow'

    # test meatadata value None
    metadata_2 = {
        'duration': 1.5,
        'artist': 'breakmaster cylinder',
        'title': None,
        'extra': None,
    }
    jam2 = jams_utils.jams_converter(metadata=metadata_2)
    assert jam2.validate()
    assert jam2['file_metadata']['duration'] == 1.5
    assert jam2['file_metadata']['artist'] == 'breakmaster cylinder'
    assert jam2['file_metadata']['title'] == ''
    assert 'extra' not in jam2['sandbox']

def test_metadata():
    metadata_1 = {
        'duration': 1.5,
        'artist': 'Meatloaf',
        'title': 'Le ciel est blue',
        'favourite_color': 'rainbow',
    }

    jam_1 = jams_utils.jams_converter(lyrics_data=[(None, None)], metadata=metadata_1)

    assert jam_1['file_metadata']['title'] == 'Le ciel est blue'
    assert jam_1['file_metadata']['artist'] == 'Meatloaf'
    assert jam_1['file_metadata']['duration'] == 1.5
    assert jam_1['sandbox']['favourite_color'] == 'rainbow'

    # test meatadata value None
    metadata_2 = {
        'duration': 1.5,
        'artist': 'breakmaster cylinder',
        'title': None,
        'extra': None,
    }
    jam2 = jams_utils.jams_converter(metadata=metadata_2)
    assert jam2.validate()
    assert jam2['file_metadata']['duration'] == 1.5

assert duration == [0.227, 0.51]
    assert value == ['is', 'cool']
    assert confidence == [None, None]

    time, duration, value, confidence = get_jam_data(jam_6, 'lyrics', 0)
    assert time == []
    assert duration == []
    assert value == []
    assert confidence == []

    assert type(jam_1) == jams.JAMS

    with pytest.raises(TypeError):
        jams_utils.jams_converter(lyrics_data=lyrics_data_4)
    with pytest.raises(TypeError):
        jams_utils.jams_converter(lyrics_data=lyrics_data_5)
    with pytest.raises(TypeError):
        jams_utils.jams_converter(lyrics_data=lyrics_data_7)

assert value == [
        {'frequency': 0.0, 'index': 0, 'voiced': False},
        {'frequency': 230.5, 'index': 0, 'voiced': True},
    ]
    assert confidence == [0.0, 1.0]

    time, duration, value, confidence = get_jam_data(jam_6, 'pitch_contour', 0)
    assert time == []
    assert duration == []
    assert value == []
    assert confidence == []

    assert type(jam_1) == jams.JAMS

    with pytest.raises(TypeError):
        jams_utils.jams_converter(f0_data=f0_data_4)
    with pytest.raises(TypeError):
        jams_utils.jams_converter(f0_data=f0_data_5)
    with pytest.raises(TypeError):
        jams_utils.jams_converter(f0_data=f0_data_7)

],
    ]
    lyrics_data_6 = [(None, None)]
    lyrics_data_7 = [
        (
            utils.EventData(
                np.array([0.2, 0.3]),
                np.array([0.3, 0.4]),
                np.array(['event A', 'event B']),
            ),
            None,
        )
    ]

    jam_1 = jams_utils.jams_converter(lyrics_data=lyrics_data_1)
    jam_2 = jams_utils.jams_converter(lyrics_data=lyrics_data_2)
    jam_3 = jams_utils.jams_converter(lyrics_data=lyrics_data_3)
    jam_6 = jams_utils.jams_converter(lyrics_data=lyrics_data_6)

    time, duration, value, confidence = get_jam_data(jam_1, 'lyrics', 0)
    assert time == [0.027, 0.232]
    assert duration == [0.2, 0.51]
    assert value == ['The', 'Test']
    assert confidence == [None, None]

    assert jam_2.annotations[0]['sandbox']['name'] == 'lyrics_1'

    time, duration, value, confidence = get_jam_data(jam_3, 'lyrics', 0)
    assert time == [0.027, 0.232]
    assert duration == [0.2, 0.51]
    assert value == ['The', 'Test']
    assert confidence == [None, None]

def to_jams(self):
        """Jams: the track's data in jams format"""
        metadata = {k: v for k, v in self._track_metadata.items() if v is not None}
        metadata['duration'] = librosa.get_duration(self.audio[0], self.audio[1])
        return jams_utils.jams_converter(
            f0_data=[(self.pitch, 'annotated pitch')], metadata=metadata
        )

def to_jams(self):
        """Jams: the track's data in jams format"""
        return jams_utils.jams_converter(metadata=self._track_metadata)  # TODO PR #185