<｜begin▁of▁sentence｜>### Instruction:
As a sports agent, imagine each node represents a key player in contract negotiations (Player 1, Player 2, Player 3, and Player 4), and the edges symbolize potential communication lines or partnerships between them. For your client, Player 1, you're strategizing the optimal networking path that would allow a connection with Player 4 through possible intermediaries (Player 2 and Player 3) with distinct interactions involving either Player 2 or Player 3, but not looping back through any intermediary more than once. Could you outline all the distinct networking strategies that would enable Player 1 to establish a direct or indirect connection with Player 4 without retracing any step in the conversation chain?
### Response:
import networkx as nx

# Create a Graph
G = nx.Graph()

# Add edges to the graph
G.add_edges_from([(1, 2), (2, 4), (1, 3), (3, 4)])

# Generate all simple edge paths from node 1 to node 4
paths = list(nx.all_simple_edge_paths(G, source=1, target=4))

# Print all simple edge paths
for path in paths:
    print(path)
<|EOT|>
