<｜begin▁of▁sentence｜>### Instruction:
Imagine we're in the midst of an emergency response scenario, where the roads are our pathways to swiftly deliver care to those in need. Our map of routes is akin to a graph with pathways [(1, 2), (1, 3), (2, 3), (3, 4), (4, 5)], and we've been informed that the route between points 3 and 4 is currently impassable and will need to be considered off-limits for our ambulance routing temporarily. How might we efficiently reroute, metaphorically 'removing' this path from our operational map in a way that allows for quick reinstatement once it's clear and back in service? Keep in mind, we're using NetworkX as our guiding tool to navigate this logistical challenge.
### Response:
import networkx as nx

# Create a graph
G = nx.Graph()
G.add_edges_from([(1, 2), (1, 3), (2, 3), (3, 4), (4, 5)])

# Hide edge (3, 4) without removing it
hidden_edges = [(3, 4)]
nx.set_edge_attributes(G, {edge: True for edge in hidden_edges}, 'hidden')

# Function to temporarily hide edges
def hide_edges(G, edges):
    removed_edges = [(u, v) for u, v, hidden in G.edges(data='hidden', default=False) if hidden]
    G.remove_edges_from(removed_edges)
    yield from removed_edges

# Use the function to hide edges
hidden = list(hide_edges(G, hidden_edges))

# Restore hidden edges
G.add_edges_from(hidden)

print(G.edges())
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