<｜begin▁of▁sentence｜>### Instruction:
As a quality control inspector at a manufacturing plant, you're tasked with ensuring that the products meet strict quality standards before they're shipped out. Recently, there have been concerns about the structural integrity of certain components used in assembly. 

You've received a list of components and their connections, represented as a graph. For example, Component A connects to Component B, which in turn connects to Component C, and so on. The connections are crucial as they determine the stability and reliability of the final product.

Using the "maximum_cardinality_search" function, your goal is to assess the strength of these connections by determining the rank of each component based on its connectivity within the graph. Additionally, you need to determine if the connections adhere to a chordal structure, meaning that every cycle of four or more vertices has a chord, or a connection between non-adjacent vertices within the cycle. 

By analyzing the ranks and chordality of the graph, you'll be able to provide valuable insights into the structural integrity of the components and ensure that they meet the required quality standards for safe and reliable products.
### Response:
import igraph as ig

# Create a graph
g = ig.Graph(edges=[(0, 1), (1, 2), (2, 0), (1, 3)])

# Perform a maximum cardinality search on the graph
ranks, alpha_inv = g.maximum_cardinality_search()

# Output the ranks
print('Vertex ranks:', ranks)

# Determine if the graph is chordal
is_chordal_graph = g.is_chordal(alpha=None, alpha_inv=alpha_inv)
print('Is chordal:', is_chordal_graph)
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