<｜begin▁of▁sentence｜>### Instruction:
Imagine you're preparing a detailed report on tax compliance adherence within a hierarchical company structure, where each level of management progressively oversees the next level in sequence, similar to a chain of command (e.g., CEO -> Vice Presidents -> Directors -> Managers -> Associates). You're using a sophisticated organizational chart in the form of a directed graph to model this hierarchy, which for our example can be represented as a direct sequence from the top executive to the entry-level employees: 0 -> 1 -> 2 -> 3 -> 4.

In this scenario, suppose '2' represents a Director level position, and you're tasked with identifying all the subordinate levels that report, directly or indirectly, to this director for the purpose of a thorough compliance assessment. To capture the flow of oversight and reporting, you've decided to utilize NetworkX, a powerful tool for analyzing and visualizing complex networks. Your goal is to ascertain all the positions within the organizational graph that fall under the jurisdiction of the Director located at position '2', and you need to include the Director's position in your assessment as well.

With the given scenario in mind, how would you go about generating a list that encompasses position '2' along with every other subordinate position reachable from the Director's node using NetworkX?
### Response:
import networkx as nx

# Create a directed graph
DG = nx.path_graph(5, create_using=nx.DiGraph)

# Get all nodes reachable from source node 2
reachable_nodes = nx.descendants(DG, 2)

# Print the sorted list of reachable nodes
print(sorted(reachable_nodes))

# Include the source node itself
reachable_nodes_with_source = reachable_nodes | {2}
print(sorted(reachable_nodes_with_source))
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