<｜begin▁of▁sentence｜>### Instruction:
As a Project Scheduler, imagine you're overseeing a construction project involving the installation of utility lines. The main pipeline, represented by a larger graph, runs through several locations, with each segment color-coded to indicate different types of utility lines and connected in a linear fashion. Meanwhile, a smaller graph represents a secondary pipeline with fewer segments, also color-coded similarly.

Your task is to identify all possible matching segments from the secondary pipeline to the main pipeline, ensuring both color and connectivity match. To accomplish this, you might need to use network analysis tools like NetworkX, integrated into your project management software, to map out the pipeline network and search for subgraph isomorphisms, essentially finding where the smaller pipeline matches the larger one. This process will help ensure efficient planning and resource allocation as you manage the project's progress and milestones.
### Response:
from igraph import Graph

# Create first graph
graph1 = Graph()
graph1.add_vertices(4)
graph1.add_edges([(0, 1), (1, 2), (2, 3)])

# Create second graph (smaller)
graph2 = Graph()
graph2.add_vertices(3)
graph2.add_edges([(0, 1), (1, 2)])

# Optional color vectors for vertices and edges
vertex_color1 = [0, 1, 0, 1]
vertex_color2 = [0, 1, 0]
edge_color1 = [1, 0, 1]
edge_color2 = [1, 0]

# Find all subisomorphisms from graph2 to graph1
subisomorphisms = graph1.get_subisomorphisms_vf2(
    other=graph2,
    color1=vertex_color1,
    color2=vertex_color2,
    edge_color1=edge_color1,
    edge_color2=edge_color2
)

print(subisomorphisms)
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