<｜begin▁of▁sentence｜>### Instruction:
As a Food Safety Inspector, you've been tasked with ensuring compliance at a local food processing facility. You've observed a production line where jars of preserves move along a conveyor belt, undergoing various processes. To streamline your inspection process, you've employed a network analysis tool called GraphSafeX, which helps in visualizing and assessing the connections within the production line.

You've identified that the jars move through a cyclic process, with each step connected to the next, forming a loop similar to a conveyor belt. Using GraphSafeX's `set_attribute_values` API, you need to assign a unique increasing weight to each connection between the steps, starting from 1. This will help in analyzing the flow and identifying any bottlenecks or inefficiencies in the production line.
### Response:
from igraph import Graph

# Create a new graph with 5 vertices and 5 edges
graph = Graph(edges=[(0, 1), (1, 2), (2, 3), (3, 4), (4, 0)])

# Set the 'weight' attribute for all edges to [1, 2, 3, 4, 5]
graph.es.set_attribute_values('weight', [1, 2, 3, 4, 5])

# Verify by printing all edge weights
print(graph.es['weight'])
<|EOT|>
