Update data_structures/kd_tree/example/hypercube_points.py

Co-authored-by: Christian Clauss <[email protected]>

Author: Ramy-Badr-Ahmed

data_structures/kd_tree/example/hypercube_points.py

@@ -8,9 +8,9 @@ def hypercube_points(
     Generates random points uniformly distributed within an n-dimensional hypercube.
 
     Args:
-        num_points (int): Number of points to generate.
-        hypercube_size (float): Size of the hypercube.
-        num_dimensions (int): Number of dimensions of the hypercube.
+        num_points: Number of points to generate.
+        hypercube_size: Size of the hypercube.
+        num_dimensions: Number of dimensions of the hypercube.
 
     Returns:
         np.ndarray: An array of shape (num_points, num_dimensions)