def METHOD_NAME(self):
    """Setup some variables which are used in every test method.
    TestCase calls functions in this order: setUp() -> testMethod() ->
    tearDown() -> cleanUp()
    """
    # prepare dummy top-down data sample with COCO metainfo
    self.results_topdown = {
        'img_id':
        1,
        'img_path':
        'tests/data/coco/000000000785.jpg',
        'id':
        1,
        'ori_shape': (425, 640),
        'img_shape': (425, 640, 3),
        'scale_factor':
        2.0,
        'flip':
        False,
        'flip_direction':
        None,
        'img':
        np.zeros((425, 640, 3), dtype=np.uint8),
        'bbox':
        np.array([[0, 0, 100, 100]], dtype=np.float32),
        'bbox_center':
        np.array([[50, 50]], dtype=np.float32),
        'bbox_scale':
        np.array([[125, 125]], dtype=np.float32),
        'bbox_rotation':
        np.array([45], dtype=np.float32),
        'bbox_score':
        np.ones(1, dtype=np.float32),
        'keypoints':
        np.random.randint(0, 100, (1, 17, 2)).astype(np.float32),
        'keypoints_visible':
        np.full((1, 17), 1).astype(np.float32),
        'keypoint_weights':
        np.full((1, 17), 1).astype(np.float32),
        'heatmaps':
        np.random.random((17, 64, 48)).astype(np.float32),
        'keypoint_labels':
        np.random.randint(0, 100, (1, 17, 2)).astype(np.float32),
        'keypoint_x_labels':
        np.random.randint(0, 100, (1, 17, 2)).astype(np.float32),
        'keypoint_y_labels':
        np.random.randint(0, 100, (1, 17, 2)).astype(np.float32),
        'transformed_keypoints':
        np.random.randint(0, 100, (1, 17, 2)).astype(np.float32),
    }
    self.meta_keys = ('img_id', 'img_path', 'ori_shape', 'img_shape',
                      'scale_factor', 'flip', 'flip_direction')