<｜begin▁of▁sentence｜>### Instruction:
As a materials scientist, you've been studying the development of a new composite material for an advanced electronics application. To better understand the material's properties and how different components interact, you've created a directed graph to represent the relationships between various elements within the composite. Each edge in the graph corresponds to a specific interaction and has an associated distance reflecting the strength of the relationship.

Now, you need to compute undirected UMAP weights from the directed distance graph, using the `umap_compute_weights` function from the `igraph` library. Once you have the weights, you plan to apply them to obtain a UMAP layout of the graph, which will help visualize the interconnections between the components and inform further material design decisions.
### Response:
import igraph as ig

# Create a directed graph
graph = ig.Graph(directed=True)

# Add vertices and directed edges with distances
graph.add_vertices(4)
graph.add_edges([(0, 1), (1, 2), (2, 3), (3, 0)])
graph.es['distance'] = [0.5, 1.0, 0.7, 1.2]

# Compute undirected UMAP weights from directed distance graph
weights = graph.umap_compute_weights(dist=graph.es['distance'])

# Use the weights for UMAP layout
layout = graph.layout_umap(weights=weights)
print(layout)
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