<｜begin▁of▁sentence｜>### Instruction:
Imagine you're working on a software application that includes a section of code representing a linear pathway connecting four distinct points, akin to a sequence of distinct stages in a process. This set of points is structured much like a linear linked-list where each point has a connection to the next. In this code snippet, you've assigned these points as nodes in a graph starting with node 0, forming a path graph.

Suppose you wish to streamline a function that navigates this linear pathway, starting at node 0 (which we can consider the root or starting point of our path). To enhance the efficiency of the navigation process, you're considering implementing a feature that retrieves a catalogue, specifically a dictionary, where for each node you can quickly reference the previous node, essentially tracing back the path to the origin.

Could you rephrase your request accordingly, so it fits into the context of a task you might encounter during your programming work, whilst keeping the core inquiry about obtaining a dictionary of predecessors for each node, starting from node 0, completely intact? The data structure and the relationships between these nodes will be pivotal to the logic of your function, so integrate this detail seamlessly into your programming scenario.
### Response:
import networkx as nx
# Create a path graph with 4 nodes
G = nx.path_graph(4)
# Get a dictionary of predecessors for each node starting from the source node 0
predecessors = nx.predecessor(G, source=0)
# Print the dictionary of predecessors
print(predecessors)
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