<｜begin▁of▁sentence｜>### Instruction:
As a costume designer creating costumes for a theater production, you want to create a visual representation of the costume design process using a directed graph with nodes representing different design stages. In order to display this graph using a tool like the CairoMatrixDrawer provided by the networkx library, you need to set the bounding box for the visual display. The bounding box specifies the dimensions of the display area and ensures that the entire graph is visible within the specified boundaries.

To achieve this, you would need to set the bounding box for the graph to (0, 0, 300, 300) using the relevant API provided by the networkx library, and then use matplotlib to visualize the graph and ensure that it fits within the specified bounding box. This visualization can be helpful in conveying the costume design process to collaborators and stakeholders involved in the production.
### Response:
from networkx.drawing.nx_agraph import GraphvizLayout
from networkx import DiGraph
import matplotlib.pyplot as plt
import networkx as nx

g = DiGraph([(1, 2), (2, 3), (3, 4)])
layout = GraphvizLayout(g, prog='dot')
pos = nx.drawing.layout.spring_layout(g)

# Assuming we have a CairoMatrixDrawer instance 'drawer', we want to set its bounding box
drawer.bbox = (0, 0, 300, 300)

# Draw the graph
drawer.draw_nodes(g.nodes(), pos)
drawer.draw_edges(g.edges(), pos)
plt.show()
<|EOT|>
