<｜begin▁of▁sentence｜>### Instruction:
Imagine we've created a hypothetical investment strategy graph, `InvestmentPathGraph`, which is a linear representation of investment stages that has been structured using a tool similar to NetworkX's `path_graph` with 5 stages. Picture this as a road map for a client's financial journey, with sequential stages labeled 0 through 4.

Now, we are evaluating two potential investment routes for a client. The first route follows a progression from stage 0 to stage 3 without deviation, corresponding to the sequence [0, 1, 2, 3]. The second route skips a stage, advancing from 0 directly to 2, then to 3, resembling the sequence [0, 2, 3]. In this context, we aim to determine whether these routes adhere to the principles of a 'simple path'—a concept in graph theory where a route visits each stage only once without any cycles.

How would the concept of a 'simple path', as assessed by a function akin to NetworkX's `is_simple_path`, translate to the integrity of our client's investment journey through these two specific sequences of investment stages in `InvestmentPathGraph`?
### Response:
import networkx as nx
G = nx.path_graph(5)
print(nx.is_simple_path(G, [0, 1, 2, 3]))
# True
print(nx.is_simple_path(G, [0, 2, 3]))
# False
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