code: def plasma_fractal(
      mapsize: int = 256, wibbledecay: float = 3.0
  ) -> np.ndarray:
      """
      Helper function to apply fog to instance.
      Generates a heightmap using diamond-square algorithm.
      Returns a square 2d array, side length 'mapsize', of floats in range 0-255.
      'mapsize' must be a power of two.
      """
      assert mapsize & (mapsize - 1) == 0
      maparray = np.empty((mapsize, mapsize), dtype=np.float_)
      maparray[0, 0] = 0
      stepsize = mapsize
      wibble = 100.0
  
      def wibbledmean(array):
          return array / 4 + wibble * np.random.uniform(
              -wibble, wibble, array.shape
          )
  
      def fillsquares():
          """For each square of points stepsize apart,
          calculate middle value as mean of points + wibble"""
          cornerref = maparray[0:mapsize:stepsize, 0:mapsize:stepsize]
          squareaccum = cornerref + np.roll(cornerref, shift=-1, axis=0)
          squareaccum += np.roll(squareaccum, shift=-1, axis=1)
          maparray[
              stepsize // 2 : mapsize : stepsize,
              stepsize // 2 : mapsize : stepsize,
          ] = wibbledmean(squareaccum)
  
      def filldiamonds():
          """For each diamond of points stepsize apart,
          calculate middle value as mean of points + wibble"""
          mapsize = maparray.shape[0]
          drgrid = maparray[
              stepsize // 2 : mapsize : stepsize,
              stepsize // 2 : mapsize : stepsize,
          ]
          ulgrid = maparray[0:mapsize:stepsize, 0:mapsize:stepsize]
          ldrsum = drgrid + np.roll(drgrid, 1, axis=0)
          lulsum = ulgrid + np.roll(ulgrid, -1, axis=1)
          ltsum = ldrsum + lulsum
          maparray[
              0:mapsize:stepsize, stepsize // 2 : mapsize : stepsize
          ] = wibbledmean(ltsum)
          tdrsum = drgrid + np.roll(drgrid, 1, axis=1)
          tulsum = ulgrid + np.roll(ulgrid, -1, axis=0)
          ttsum = tdrsum + tulsum
          maparray[
              stepsize // 2 : mapsize : stepsize, 0:mapsize:stepsize
          ] = wibbledmean(ttsum)
  
      while stepsize >= 2:
          fillsquares()
          filldiamonds()
          stepsize //= 2
          wibble /= wibbledecay
  
      maparray -= maparray.min()
      return maparray / maparray.max()
  
imports: import random
  from io import BytesIO
  from typing import List, Tuple, Union
  import cv2
  import numpy
  import skimage
  from alibi_detect.utils.data import Bunch
  from alibi_detect.utils.discretizer import Discretizer
  from alibi_detect.utils.distance import abdm, multidim_scaling
  from alibi_detect.utils.mapping import ohe2ord
  from PIL import Image
  from scipy.ndimage import zoom
  from scipy.ndimage.interpolation import map_coordinates
  from skimage.filters import gaussian
label_desc: Use image node_id 16 for calling a global function with example usage: plasma_fractal(mapsize, wibbledecay) and returns: unknown, unknown