human
Solve the following python programming problem given the following code:
def generic_weighted_projected_graph(B, nodes, weight_function = None) : 
    'Weighted projection of B with a user-specified weight function.

    The bipartite network B is projected on to the specified nodes
    with weights computed by a user-specified function.  This function
    must accept as a parameter the neighborhood sets of two nodes and
    return an integer or a float.

    The nodes retain their attributes and are connected in the resulting graph 
    if they have an edge to a common node in the original graph.

    Parameters
    ----------
    B : NetworkX graph 
        The input graph should be bipartite. 

    nodes : list or iterable
        Nodes to project onto (the "bottom" nodes).

    weight_function: function
        This function must accept as parameters the same input graph 
        that this function, and two nodes.
and return an integer or a float.
        The default function computes the number of shared neighbors.

    Returns
    -------
    Graph : NetworkX graph 
       A graph that is the projection onto the given nodes.

    Examples
    --------
    >>> from networkx.algorithms import bipartite
    >>> # Define some custom weight functions
    >>> def jaccard(G, u, v):
    ...     unbrs = set(G[u])
    ...     vnbrs = set(G[v])
    ...     return float(len(unbrs & vnbrs)) / len(unbrs | vnbrs)
    ... 
    >>> def my_weight(G, u, v, weight=\'weight\'):
    ...     w = 0
    ...     for nbr in set(G[u]) & set(G[v]):
    ...         w += G.edge[u][nbr].get(weight, 1) + G.edge[v][nbr].get(weight, 1)
    ...     return w
    ... 
    >>> # A complete bipartite graph with 4 nodes and 4 edges
    >>> B = nx.complete_bipartite_graph(2,2)
    >>> # Add some arbitrary weight to the edges
    >>> for i,(u,v) in enumerate(B.edges()):
    ...     B.edge[u][v][\'weight\'] = i + 1
    ... 
    >>> for edge in B.edges(data=True):
    ...     print(edge)
    ... 
    (0, 2, {\'weight\': 1})
    (0, 3, {\'weight\': 2})
    (1, 2, {\'weight\': 3})
    (1, 3, {\'weight\': 4})
    >>> #...

    
    

    Fix the buggy line: G.add_nodes_from (((n, B.node [nbr]) for n in nodes))
assistant
#Here is Python code to fix the buggy line: G.

G.add_nodes_from (((n, B.node [n]) for n in nodes))