⚡ Live Sandbox: AI Dev Tool: Poisson Disk Sampling

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```python
# AI Dev Tool: Poisson Disk Sampling CLI Automation Tool
# =====================================================
# A command-line interface (CLI) automation tool for generating Poisson Disk Sampling patterns.

import numpy as np
from scipy.spatial import distance
import argparse
import json

def poisson_disk_sampling(width: int, height: int, radius: int, num_samples: int) -> np.ndarray:
    """
    Generate a Poisson Disk Sampling pattern.

Args:
    - width (int): The width of the sampling area.
    - height (int): The height of the sampling area.
    - radius (int): The minimum distance between samples.
    - num_samples (int): The number of samples to generate.

Returns:
    - np.ndarray: A 2D array of sample points.
    """
    # Initialize the sampling area with zeros
    sampling_area = np.zeros((height, width))

# Initialize the list of sample points
    sample_points = []

# Generate the first sample point at a random location
    x = np.random.randint(0, width)
    y = np.random.randint(0, height)
    sample_points.append((x, y))
    sampling_area[y, x] = 1

# Generate

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