human
Write me a Python code to find the shortest red path given the following:
Complete the below
def dijkstra_path(G, source, target, weight='weight'):

    ''''Returns the shortest weighted path from source to target in G.
    Uses Dijkstra\'s Method to compute the shortest weighted path
    between two nodes in a graph.
    Parameters
    G : NetworkX graph
    source : node
    Starting node
    target : node
    Ending node
    weight : string or function
    If this is a string, then edge weights will be accessed via the
    edge attribute with this key (that is, the weight of the edge
    joining `u` to `v` will be ``G.edge[u][v][weight]``). If no
    such edge attribute exists, the weight of the edge is assumed to
    be one.
    If this is a function, the weight of an edge is the value
    returned by the function. The function must accept exactly three
    positional arguments: the two endpoints of an edge and the
    dictionary of edge attributes for that edge. The function must
    return a number.
    Returns
    path : list
    List of nodes in a shortest path.
    Raises
    NetworkXNoPath
    If no path exists between source and target.
    Examples
    >>> G=nx.path_graph(5)
    >>> print(nx.dijkstra_path(G,0,4))
    [0, 1, 2, 3, 4]
    Notes
    Edge weight attributes must be numerical.
    Distances are calculated as sums of weighted edges traversed.
    The weight function can be used to hide edges by returning None.
    So ``weight = lambda u, v, d: 1 if d[\'color\']=="red" else None``
    will find the shortest red path.
    The weight function can be used to include node weights.
    >>> def func(u, v, d):
    ...     node_u_wt = G.node[u].get(\'node_weight\', 1)
    ...     node_v_wt = G.node[v].get(\'node_weight\', 1)
    ...     edge_wt = d.get(\'weight\', 1)
    ...     return node_u_wt/2 + node_v_wt/2 + edge_wt
    In this example we take the average of start and end node
    weights of an edge and add it to the weight of the edge.
    See Also
    bidirectional_dijkstra(), bellman_ford_path()'
    '''
assistant
#Here is Python code to find the shortest red path.
    (length, path) = single_source_dijkstra(G, source, target=target, weight=weight)
    return path