<｜begin▁of▁sentence｜>### Instruction:
Let's consider a scenario where you are hosting a productivity workshop for a group of professionals. As part of the workshop, you want to demonstrate the concept of teamwork and collaboration using a visual representation of a project network.

You have a physical graph representation of a project's tasks and their dependencies. Each task is represented by a node, and the dependencies are represented by edges. You want to assign weights to the dependencies to illustrate the effort required for each task.

As a motivational speaker, you are seeking a method to confidently set the 'weight' attribute for each edge using the `EdgeSeq.set_attribute_values` method provided by igraph, based on a list of weights that correspond to the efforts required for each task dependency. The weights list is essential for accurately reflecting the task dependencies and their associated efforts within the project network visualization.
### Response:
from igraph import Graph

# Create a simple undirected graph
graph = Graph(edges=[(0, 1), (1, 2), (2, 3)])

# Initialize the 'weight' attribute for each edge with a list of values
weights = [5, 3, 2]
graph.es['weight'] = None  # This initializes the 'weight' attribute
graph.es.set_attribute_values('weight', weights)

# Print out the edges with their attributes
for edge in graph.es:
    print(edge.index, edge.attributes())
<|EOT|>
