<｜begin▁of▁sentence｜>### Instruction:
In the realm of automotive engineering, let's consider a scenario where you are working on a vehicle's electronic control system. This system requires an intricate mapping of sensor data which is currently organized in a hierarchy of lists, similar to how various components of the vehicle are interconnected. The data structure resembles this: `sensor_data_hierarchy = [[1, 2, [3, 4]], [5, 6], [7], [8, 9]]`. For the purpose of streamlining the data analysis process and ensuring uniform processing, you are tasked with simplifying this nested list into a single-level list. As an adept user of software tools, you are aware that the NetworkX package offers a utility that could handle such data manipulations.

How might you use the `flatten` function from the NetworkX package to convert this nested sensor data hierarchy into a flat list format which could then be more readily applied to your vehicle system diagnostics and optimization tasks? It is imperative that this restructuring preserves the original dataset integrity, maintaining the sequence and values of the sensor data.
### Response:
from networkx.utils import flatten

# Nested list structure
nested_list = [[1, 2, [3, 4]], [5, 6], [7], [8, 9]]

# Flatten the nested list
flat_list = list(flatten(nested_list))

print(flat_list)
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