human
I am working on the file "Six for a Spell Solver.ipynb".
The first task is:
The Graph
The letters and connections are well suited to a graph representation.  We could use simpler data structures, but using NetworkX seems like a nice match.  And it will give me a chance to play with that library a little more.
Can you write Python code for it?
 Give me a the Python code you requested?
assistant
#Here is the Python code you requested.

from collections import namedtuple
import networkx as nx

node = namedtuple('node', ['index', 'letter'])

def get_graph():
    G = nx.Graph()
    pos = [
        (1, 6), (3, 6),
        (2, 5),
        (1, 4), (3, 4),
        (0, 3), (2, 3), (4, 3),
        (1, 2), (3, 2),
        (2, 1),        
        (1, 0), (3, 0),
    ]
    nodes = [node(index=i, letter=l) for i, l in enumerate('coearidlneotp')]
    for n, p in zip(nodes, pos):
        G.add_node(n, letter=n.letter, pos=p)
    def get_edges(n0, ns):
        return [(n0, n1) for n1 in ns]
    edges = []
    for n0, ns in [
        (0, (1, 2, 3, 5, 6)),
        (1, (0, 2, 4, 6, 7)),
        (2, (0, 1, 3, 4, 6)),
        (3, (0, 2, 5, 6, 8)),
        (4, (1, 2, 6, 7, 9)),
        (5, (0, 3, 6, 8, 11)),
        (6, (0, 1, 2, 3, 4, 5, 7, 8, 9, 10, 11, 12)),
        (7, (1, 4, 6, 9, 12)),
        (8, (3, 5, 6, 10, 11)),
        (9, (4, 6, 7, 10, 12)),
        (10, (6, 8, 9, 11, 12)),
        (11, (5, 6, 8, 10, 12)),
        (12, (6, 7, 9, 10, 11))
    ]:
        edges.extend(get_edges(n0, ns))
    for (n0, n1) in edges:
        G.add_edge(nodes[n0], nodes[n1])
    return G

G = get_graph()
pos = nx.get_node_attributes(G,'pos')
nx.draw(G, pos=pos, node_color='w',)
nx.draw_networkx_labels(G, pos, labels={g: g.letter for g in G})