<｜begin▁of▁sentence｜>### Instruction:
Imagine we're examining a case where evidence points to a sequence of events, akin to a trail leading from an initial incident to subsequent related occurrences. Our task is to map out this sequence which, for prosecutorial purposes, we've structured akin to a directed path graph composed of four key stages, metaphorically represented as 'nodes', with the starting incident being node 0.

Utilizing the analytical tool 'NetworkX', we've modeled the connectivity of these events. Now, in building our defense strategy, we need to meticulously trace back through this chain of events. For each phase or 'node' starting from the incident initiation point, it's critical to ascertain what directly predicated it, and how many 'hops' or degrees removed it is from that initial node 0.

Could you assist in elucidating the immediate antecedents for each node following node 0 and determine the number of steps one would need to traverse in order to reach each subsequent node, starting from the origin of this event chain? Please ensure this investigative process aligns precisely with the principles and logical flow embedded in our NetworkX representation of the event sequence.
### Response:
import networkx as nx

# Create a directed graph
G = nx.path_graph(4, create_using=nx.DiGraph)

# Use the predecessor function
predecessors = nx.predecessor(G, source=0)

# Print the predecessors for all nodes
print(predecessors)

# If you also want to see the distance (in hops) from the source node
predecessors, distances = nx.predecessor(G, source=0, return_seen=True)

# Print predecessors and distances
print('Predecessors:', predecessors)
print('Distances:', distances)
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