(num_nodes, num_edges, directed=False, weight_range=(1, 1))
return random_graph
Create a random graph.
    
    @type  num_nodes: number
    @param num_nodes: Number of nodes.
    
    @type  num_edges: number
    @param num_edges: Number of edges.
    
    @type  directed: bool
    @param directed: Whether the generated graph should be directed or not.  

    @type  weight_range: tuple
    @param weight_range: tuple of two integers as lower and upper limits on randomly generated
    weights (uniform distribution).
Create a random graph.
    
    @type  num_nodes: number
    @param num_nodes: Number of nodes.
    
    @type  num_edges: number
    @param num_edges: Number of edges.
    
    @type  directed: bool
    @param directed: Whether the generated graph should be directed or not.
Create a random graph . @type num_nodes : number @param num_nodes : Number of nodes . @type num_edges : number @param num_edges : Number of edges . @type directed : bool @param directed : Whether the generated graph should be directed or not .
def generate(num_nodes, num_edges, directed=False, weight_range=(1, 1)):
    """
    Create a random graph.
    
    @type  num_nodes: number
    @param num_nodes: Number of nodes.
    
    @type  num_edges: number
    @param num_edges: Number of edges.
    
    @type  directed: bool
    @param directed: Whether the generated graph should be directed or not.  

    @type  weight_range: tuple
    @param weight_range: tuple of two integers as lower and upper limits on randomly generated
    weights (uniform distribution).
    """
    # Graph creation
    if directed:
        random_graph = digraph()
    else:
        random_graph = graph()

    # Nodes
    nodes = range(num_nodes)
    random_graph.add_nodes(nodes)
    
    # Build a list of all possible edges
    edges = []
    edges_append = edges.append
    for x in nodes:
        for y in nodes:
            if ((directed and x != y) or (x > y)):
                edges_append((x, y))
    
    # Randomize the list
    shuffle(edges)
    
    # Add edges to the graph
    min_wt = min(weight_range)
    max_wt = max(weight_range)
    for i in range(num_edges):
        each = edges[i]
        random_graph.add_edge((each[0], each[1]), wt = randint(min_wt, max_wt))

    return random_graph
def generate ( num_nodes , num_edges , directed = False , weight_range = ( 1 , 1 ) ) : # Graph creation if directed : random_graph = digraph ( ) else : random_graph = graph ( ) # Nodes nodes = range ( num_nodes ) random_graph . add_nodes ( nodes ) # Build a list of all possible edges edges = [ ] edges_append = edges . append for x in nodes : for y in nodes : if ( ( directed and x != y ) or ( x > y ) ) : edges_append ( ( x , y ) ) # Randomize the list shuffle ( edges ) # Add edges to the graph min_wt = min ( weight_range ) max_wt = max ( weight_range ) for i in range ( num_edges ) : each = edges [ i ] random_graph . add_edge ( ( each [ 0 ] , each [ 1 ] ) , wt = randint ( min_wt , max_wt ) ) return random_graph