def METHOD_NAME():
    y_of_node = (0, 100, 200, 200, 300, 400, 400, 125)
    x_of_node = (0, 0, 100, -50, -100, 50, -150, -100)
    nodes_at_link = ((1, 0), (2, 1), (1, 7), (3, 1), (3, 4), (4, 5), (4, 6))
    grid1 = NetworkModelGrid((y_of_node, x_of_node), nodes_at_link)
    grid1.at_node["topographic__elevation"] = [
        0.0,
        0.08,
        0.25,
        0.15,
        0.25,
        0.4,
        0.8,
        0.8,
    ]
    grid1.at_node["bedrock__elevation"] = [0.0, 0.08, 0.25, 0.15, 0.25, 0.4, 0.8, 0.8]
    grid1.at_link["flow_depth"] = 2.5 * np.ones(grid1.number_of_links)
    grid1.at_link["channel_slope"] = np.ones(
        grid1.number_of_links
    )  # AP ?? Does it get overwritten?? check
    grid1.at_link["reach_length"] = 200 * np.ones(grid1.number_of_links)  # m
    grid1.at_link["channel_width"] = 1 * np.ones(grid1.number_of_links)
    # element_id is the link on which the parcel begins.
    element_id = np.repeat(np.arange(grid1.number_of_links), 30)
    element_id = np.expand_dims(element_id, axis=1)
    volume = 0.05 * np.ones(np.shape(element_id))  # (m3)
    active_layer = np.ones(np.shape(element_id))  # 1= active, 0 = inactive
    density = 2650 * np.ones(np.size(element_id))  # (kg/m3)
    abrasion_rate = 0 * np.ones(np.size(element_id))  # (mass loss /m)
    # Lognormal GSD
    medianD = 0.085  # m
    mu = np.log(medianD)
    sigma = np.log(2)  # assume that D84 = sigma*D50
    np.random.seed(0)
    D = np.random.lognormal(
        mu, sigma, np.shape(element_id)
    )  # (m) the diameter of grains in each parcel
    time_arrival_in_link = np.random.rand(np.size(element_id), 1)
    location_in_link = np.random.rand(np.size(element_id), 1)
    lithology = ["quartzite"] * np.size(element_id)
    variables = {
        "abrasion_rate": (["item_id"], abrasion_rate),
        "density": (["item_id"], density),
        "lithology": (["item_id"], lithology),
        "time_arrival_in_link": (["item_id", "time"], time_arrival_in_link),
        "active_layer": (["item_id", "time"], active_layer),
        "location_in_link": (["item_id", "time"], location_in_link),
        "D": (["item_id", "time"], D),
        "volume": (["item_id", "time"], volume),
    }
    items = {"grid_element": "link", "element_id": element_id}
    parcels1 = DataRecord(
        grid1,
        items=items,
        time=[0.0],
        data_vars=variables,
        dummy_elements={"link": [NetworkSedimentTransporter.OUT_OF_NETWORK]},
    )
    fd1 = FlowDirectorSteepest(grid1, "topographic__elevation")
    fd1.run_one_step()
    nst1 = NetworkSedimentTransporter(
        grid1,
        parcels1,
        fd1,
        bed_porosity=0.3,
        g=9.81,
        fluid_density=1000,
        transport_method="WilcockCrowe",
    )
    timesteps = 2  # total number of timesteps
    dt = 60 * 60 * 24 * 1  # length of timestep (seconds)
    for _ in range(0, (timesteps * dt), dt):
        nst1.run_one_step(dt)
    return nst1