def METHOD_NAME(self) -> None:
    self.configs = [
        (
            'simcc gaussian',
            dict(
                type='SimCCLabel',
                input_size=(192, 256),
                smoothing_type='gaussian',
                sigma=6.0,
                simcc_split_ratio=2.0),
        ),
        (
            'simcc smoothing',
            dict(
                type='SimCCLabel',
                input_size=(192, 256),
                smoothing_type='standard',
                sigma=5.0,
                simcc_split_ratio=3.0,
                label_smooth_weight=0.1),
        ),
        (
            'simcc one-hot',
            dict(
                type='SimCCLabel',
                input_size=(192, 256),
                smoothing_type='standard',
                sigma=5.0,
                simcc_split_ratio=3.0),
        ),
        (
            'simcc dark',
            dict(
                type='SimCCLabel',
                input_size=(192, 256),
                smoothing_type='gaussian',
                sigma=6.0,
                simcc_split_ratio=2.0,
                use_dark=True),
        ),
        (
            'simcc separated sigmas',
            dict(
                type='SimCCLabel',
                input_size=(192, 256),
                smoothing_type='gaussian',
                sigma=(4.9, 5.66),
                simcc_split_ratio=2.0),
        ),
    ]
    # The bbox is usually padded so the keypoint will not be near the
    # boundary
    keypoints = (0.1 + 0.8 * np.random.rand(1, 17, 2)) * [192, 256]
    keypoints = np.round(keypoints).astype(np.float32)
    keypoints_visible = np.ones((1, 17), dtype=np.float32)
    self.data = dict(
        keypoints=keypoints, keypoints_visible=keypoints_visible)