<｜begin▁of▁sentence｜>### Instruction:
As a massage instructor teaching massage therapy techniques, anatomy, and physiology, imagine you're guiding students in a practical exercise. Let's use a different kind of "muscle memory" today by applying our knowledge of directed graphs to a real-world scenario.

Consider a spa with five massage stations, each connected by a pathway. Station 0 leads to station 1, which then connects to station 2, and so on until we reach station 4. Additionally, there are specific directions of movement along these pathways: from station 0 to 1, from 1 to 2, and so forth. Now, let's translate this scenario into a directed graph, where each station represents a vertex, and the pathways between them are the edges. 

Here's the catch: we want to visualize these pathways with arrows indicating the direction of movement, mirroring the flow of energy during a massage session. To do this, we'll employ the `CairoArrowEdgeDrawer` tool available in the igraph library. This tool allows us to draw directed edges as arrows in our graph representation.

Once we've created this graph with arrows representing the flow between massage stations, we'll want to save our visualization for future reference. We can do this by using the appropriate method provided by the igraph library to save the graph image to a file. Let's name this file 'graph_with_arrows.png' for easy identification and access.

By integrating practical scenarios with our knowledge of graph visualization tools, we can enhance our understanding of both massage therapy and graph theory in an engaging and memorable way.
### Response:
import igraph as ig
from igraph import plot

# Prepare the visual style for the plot
visual_style = {'vertex_size': 20}

# Create a directed graph with 5 vertices and some directed edges
g = ig.Graph(directed=True)
g.add_vertices(5)
g.add_edges([(0,1), (1,2), (2,3), (3,4), (0,4)])

# Initialize the CairoArrowEdgeDrawer
custom_edge_drawer = ig.CairoArrowEdgeDrawer()

# Create a plot object and set our custom edge drawer as the edge_drawer in the visual style
plot(g, 'graph_with_arrows.png', **visual_style, edge_drawer=custom_edge_drawer)
<|EOT|>
