def METHOD_NAME(self):
    thor_depth_arr = 5 * np.float32(self._load_thor_img()).sum(-1)
    thor_depth_arr /= thor_depth_arr.max()
    assert (
        self._get_img_hash(thor_depth_arr)
        == "d3c1474400ba57ed78f52cf4ba6a4c2a1d90516c"
    )
    img = to_pil(thor_depth_arr)
    scaler = ScaleBothSides(width=75, height=75)
    scaled_img = np.array(scaler(img))
    assert (
        self._get_img_hash(scaled_img) == "6a879beb6bed49021e438c1e3af7a62c428a44d8"
    )
    scaler = ScaleBothSides(width=500, height=600)
    scaled_img = np.array(scaler(img))
    assert (
        self._get_img_hash(scaled_img) == "79f11fb741ae638afca40125e4c501f54b22cc01"
    )