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# EVOLVE-BLOCK-START
import numpy as np
def heilbronn_triangle11() -> np.ndarray:
"""
Construct an arrangement of n points on or inside a convex region in order to maximize the area of the
smallest triangle formed by these points. Here n = 11.
Returns:
points: np.ndarray of shape (11,2) with the x,y coordinates of the points.
"""
n = 11
points = np.zeros((n, 2))
return points
# EVOLVE-BLOCK-END
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