<｜begin▁of▁sentence｜>### Instruction:
Imagine you're working with a team of athletes who follow a specific training routine. Now, think of this routine as a path that they follow, with each exercise representing a node in their training circuit. We've set up a circuit where some exercises lead into others, creating a sequence akin to the following path: starting from the Warm-Up (node 1), moving to the Core Strength Drill (node 2), sometimes looping back to Core Strength from the Flexibility Exercise (forming a cycle between node 2 and node 1), or moving forward to the Cool Down (node 3).

As an athletic trainer, you're interested in mapping out every possible route your athletes can take on this circuit to ensure that all exercises are covered efficiently without missing any critical steps. You are starting the route mapping from the Warm-Up. Could you illustrate how each route in the training sequence would be followed based on a method similar to exploring a maze—checking one direction thoroughly before moving to the next option? Remember, each route is an edge and every exercise is a node, and we're dealing with a predefined pattern of [(0, Warm-Up), (Warm-Up, Core Strength), (Core Strength, Flexibility), (Flexibility, Core Strength), (Core Strength, Cool Down)]. How would this "exploration" unfold, tracing each possible path from the Warm-Up onwards?
### Response:
import networkx as nx

# Create a directed graph
G = nx.DiGraph()

# Add edges to the graph (forming a cycle and a branch)
G.add_edges_from([(0, 1), (1, 2), (2, 1), (2, 3)])

# Perform edge DFS starting from node 1
edges_in_dfs_order = list(nx.edge_dfs(G, source=1))

# Output the edges visited
print('Edges in DFS order:', edges_in_dfs_order)
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