(
    graph,
    radius=5,
    mode="sum",
    name="cds_len",
    degree="degree",
    length="mm_len",
    distance=None,
    verbose=True,
)
return _cds_length(netx, mode=mode, length=length)
Calculates length of cul-de-sacs for subgraph around each node if radius is set,
    or for whole graph, if ``radius=None``.

    Subgraph is generated around each node within set radius. If ``distance=None``,
    radius will define topological distance, otherwise it uses values in distance
    attribute.


    Parameters
    ----------
    graph : networkx.Graph
        Graph representing street network.
        Ideally generated from GeoDataFrame using :func:`momepy.gdf_to_nx`
    radius : int
        Include all neighbors of distance <= radius from n
    mode : str (default 'sum')
        if ``'sum'``, calculate total length, if ``'mean'`` calculate mean length
    name : str, optional
        calculated attribute name
    degree : str
        name of attribute of node degree (:py:func:`momepy.node_degree`)
    length : str, optional
        name of attribute of segment length (geographical)
    distance : str, optional
        Use specified edge data key as distance.
        For example, setting ``distance=’weight’`` will use the edge ``weight`` to
        measure the distance from the node n.
    verbose : bool (default True)
        if True, shows progress bars in loops and indication of steps


    Returns
    -------
    Graph
        networkx.Graph if radius is set
    float
        length of cul-de-sacs for graph if ``radius=None``

    Examples
    --------
    >>> network_graph = mm.cds_length(network_graph, radius=9, mode='mean')
Calculates length of cul-de-sacs for subgraph around each node if radius is set,
    or for whole graph, if ``radius=None``.
Calculates length of cul - de - sacs for subgraph around each node if radius is set or for whole graph if radius = None .
def cds_length(
    graph,
    radius=5,
    mode="sum",
    name="cds_len",
    degree="degree",
    length="mm_len",
    distance=None,
    verbose=True,
):
    """
    Calculates length of cul-de-sacs for subgraph around each node if radius is set,
    or for whole graph, if ``radius=None``.

    Subgraph is generated around each node within set radius. If ``distance=None``,
    radius will define topological distance, otherwise it uses values in distance
    attribute.


    Parameters
    ----------
    graph : networkx.Graph
        Graph representing street network.
        Ideally generated from GeoDataFrame using :func:`momepy.gdf_to_nx`
    radius : int
        Include all neighbors of distance <= radius from n
    mode : str (default 'sum')
        if ``'sum'``, calculate total length, if ``'mean'`` calculate mean length
    name : str, optional
        calculated attribute name
    degree : str
        name of attribute of node degree (:py:func:`momepy.node_degree`)
    length : str, optional
        name of attribute of segment length (geographical)
    distance : str, optional
        Use specified edge data key as distance.
        For example, setting ``distance=’weight’`` will use the edge ``weight`` to
        measure the distance from the node n.
    verbose : bool (default True)
        if True, shows progress bars in loops and indication of steps


    Returns
    -------
    Graph
        networkx.Graph if radius is set
    float
        length of cul-de-sacs for graph if ``radius=None``

    Examples
    --------
    >>> network_graph = mm.cds_length(network_graph, radius=9, mode='mean')
    """
    # node degree needed beforehand
    netx = graph.copy()

    for u, v, k in netx.edges(keys=True):
        if netx.nodes[u][degree] == 1 or netx.nodes[v][degree] == 1:
            netx[u][v][k]["cdsbool"] = True
        else:
            netx[u][v][k]["cdsbool"] = False

    if radius:
        for n in tqdm(netx, total=len(netx), disable=not verbose):
            sub = nx.ego_graph(
                netx, n, radius=radius, distance=distance
            )  # define subgraph of steps=radius
            netx.nodes[n][name] = _cds_length(
                sub, mode=mode, length=length
            )  # save value calculated for subgraph to node

        return netx

    return _cds_length(netx, mode=mode, length=length)
def cds_length ( graph , radius = 5 , mode = "sum" , name = "cds_len" , degree = "degree" , length = "mm_len" , distance = None , verbose = True , ) : # node degree needed beforehand netx = graph . copy ( ) for u , v , k in netx . edges ( keys = True ) : if netx . nodes [ u ] [ degree ] == 1 or netx . nodes [ v ] [ degree ] == 1 : netx [ u ] [ v ] [ k ] [ "cdsbool" ] = True else : netx [ u ] [ v ] [ k ] [ "cdsbool" ] = False if radius : for n in tqdm ( netx , total = len ( netx ) , disable = not verbose ) : sub = nx . ego_graph ( netx , n , radius = radius , distance = distance ) # define subgraph of steps=radius netx . nodes [ n ] [ name ] = _cds_length ( sub , mode = mode , length = length ) # save value calculated for subgraph to node return netx return _cds_length ( netx , mode = mode , length = length )