<｜begin▁of▁sentence｜>### Instruction:
As a Marketing Manager, you have a set of promotional materials for different products that need to be strategically positioned for maximum impact. Imagine you are working with a team to find the best layout for these materials in a retail display. You want to develop a method to determine the most effective positions and alignments for the promotional labels to avoid visual clutter and maximize visibility. This involves considering the layout of the display, the size and shape of the promotional materials, and ensuring that the labels do not overlap with the actual products. The method should utilize custom design elements and take into account the overall aesthetic appeal of the display.
### Response:
import igraph as ig

# Assuming we have a graph instance, an edge ID, and coordinates for source and destination vertices
g = ig.Graph(edges=[(0, 1), (1, 2), (2, 3)])
edge_id = 1
src_vertex = (0, 0)
dest_vertex = (1, 1)

# Custom edge drawer class inheriting from AbstractEdgeDrawer
class MyEdgeDrawer(ig.drawing.edge.AbstractEdgeDrawer):
    def get_label_position(self, edge, src_vertex, dest_vertex):
        # Calling the superclass method to get the default position and alignment
        position, alignment = super(MyEdgeDrawer, self).get_label_position(edge, src_vertex, dest_vertex)
        # Custom logic can be applied here if needed
        return position, alignment

# Instantiate the custom edge drawer
edge_drawer = MyEdgeDrawer(None)
# Get the label position and alignment for the edge with ID edge_id
label_pos, label_alignment = edge_drawer.get_label_position(g.es[edge_id], src_vertex, dest_vertex)
print('Label Position:', label_pos, '\nLabel Alignment:', label_alignment)
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