code: def elastic_deform_coordinates(coordinates, alpha, sigma):
      n_dim = len(coordinates)
      offsets = []
      for _ in range(n_dim):
          offsets.append(
              gaussian_filter(
                  (np.random.random(coordinates.shape[1:]) * 2 - 1),
                  sigma,
                  mode="constant",
                  cval=0,
              )
              * alpha
          )
      offsets = np.array(offsets)
      indices = offsets + coordinates
      return indices
  
imports: import random
  import numpy
  import paddle
  from paddle.nn.functional import avg_pool2d, avg_pool3d
  from typing import List, Tuple, Union, Callable
  from copy import deepcopy
  from scipy.ndimage import map_coordinates, fourier_gaussian
  from scipy.ndimage.filters import gaussian_filter, gaussian_gradient_magnitude
  from scipy.ndimage.morphology import grey_dilation
  from skimage.transform import resize
  from scipy.ndimage.measurements import label
label_desc: Use image node_id 17 for calling a global function with example usage: elastic_deform_coordinates(coordinates, alpha, sigma) and returns: indices