stack overflow when computing delaunay_2d on bigger point clouds

[CLAMPE2020]

Describe the bug, what's wrong, and what you expected.

A fatal stack overflow happens when delaunay_2d is used on bigger point clouds. I expected it to run or throw a normal exception.

Steps to reproduce the bug.

import numpy as np
import pyvista as pv

# Define a simple Gaussian surface
n = 3000
x = np.linspace(-200, 200, num=n) + np.random.uniform(-5, 5, size=n)
y = np.linspace(-200, 200, num=n) + np.random.uniform(-5, 5, size=n)
xx, yy = np.meshgrid(x, y)
A, b = 100, 100
zz = A * np.exp(-0.5 * ((xx / b) ** 2.0 + (yy / b) ** 2.0))

# Get the points as a 2D NumPy array (N by 3)
points = np.c_[xx.reshape(-1), yy.reshape(-1), zz.reshape(-1)]
points[0:5, :]

# simply pass the numpy points to the PolyData constructor
cloud = pv.PolyData(points)
# cloud.plot(point_size=15)


surf = cloud.delaunay_2d(progress_bar=True)

System Information

--------------------------------------------------------------------------------
  Date: Tue May 07 13:12:43 2024 W. Europe Daylight Time

                  OS : Windows (10 10.0.19045 SP0 Multiprocessor Free)
              CPU(s) : 20
             Machine : AMD64
        Architecture : 64bit
                 RAM : 79.7 GiB
         Environment : Python
          GPU Vendor : NVIDIA Corporation
        GPU Renderer : NVIDIA T1000/PCIe/SSE2
         GPU Version : 4.5.0 NVIDIA 551.61
    MathText Support : False

  Python 3.11.6 (tags/v3.11.6:8b6ee5b, Oct  2 2023, 14:57:12) [MSC v.1935 64
  bit (AMD64)]

             pyvista : 0.43.7
                 vtk : 9.3.0
               numpy : 1.26.2
          matplotlib : 3.8.1
              scooby : 0.10.0
               pooch : 1.8.1
              pillow : 10.1.0
             imageio : 2.34.1
               PyQt5 : 5.15.10
             IPython : 8.17.2
            colorcet : 3.1.0
             cmocean : 4.0.3
          ipywidgets : 8.1.2
               scipy : 1.11.3
                tqdm : 4.66.4
              meshio : 5.3.5
               trame : 3.6.0
        trame_client : 3.0.2
        trame_server : 3.0.0
           trame_vtk : 2.8.7
       trame_vuetify : 2.4.3
jupyter_server_proxy : 4.1.2
        nest_asyncio : 1.5.8
--------------------------------------------------------------------------------

Screenshots

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