<｜begin▁of▁sentence｜>### Instruction:
Imagine you're guiding a group of high school students through a computer science project where they're exploring graph theory. They have created a simple linear progression, a path graph, extending like stepping stones, with 4 distinct points of decision - much like the stages from freshman to senior year. Now, they're excited to take the structure of this graph and keep a record of it for further examination and presentation.

To assist them, could you demonstrate how to encapsulate the essence of this graph journey into a digital format, using sparse6 notation? This format will serve as a compact textual representation. Once this is done, we would then need to retrieve it from its saved state, displaying its details as if we were unwrapping the narrative of a student's progression through high school.

Since we're dealing with crucial educational data, we must handle this with precision. Please ensure that the action of saving this four-step educational path to a file in sparse6 format using NetworkX is clearly outlined, followed by accurately reading back the information, confirming that none of the insights are lost in translation. If the information is written to a file, remember to mention the file name within the scenario so the students can easily identify and reference it within their project documentation.
### Response:
import networkx as nx
import tempfile

# Create a graph
G = nx.path_graph(4)

# Write the graph to a sparse6 file
with tempfile.NamedTemporaryFile(delete=False) as f:
    nx.write_sparse6(G, f.name)
    f.seek(0)
    print(f.read())
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