<｜begin▁of▁sentence｜>### Instruction:
In the context of analyzing the workflow within a production facility, imagine that the movement of a vital component is represented by a connectivity map with paths delineated as follows: the component can be transported directly from station 'A' to station 'B', from 'B' to 'C', 'C' back to 'A', then on to 'D', from 'D' to 'E', from 'E' to 'F', and finally from 'F' back to 'C'. We require a NetworkX analysis to ascertain whether the transport sequence of this component forms what could be termed a semi-Eulerian trajectory—essentially a single, uninterrupted journey that visits each station at least once without retracing its steps through any station more than necessary, except it does not culminate in a closed loop starting and ending at the same station. This understanding will aid in refining the efficiency of the workflow within the production system.
### Response:
import networkx as nx

# Create a graph
G = nx.Graph()
G.add_edges_from([('A', 'B'), ('B', 'C'), ('C', 'A'), ('C', 'D'), ('D', 'E'), ('E', 'F'), ('F', 'C')])

# Check if the graph is semi-Eulerian
is_semi = nx.is_semieulerian(G)

print('Is the graph semi-Eulerian?', is_semi)
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