code: def uniform(low, high, size=None):
      if low == high:
          if size is None:
              return low
          else:
              return np.ones(size) * low
      else:
          return np.random.uniform(low, high, size)
  
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 8 for calling a global function with example usage: uniform(low, high, size) and returns: np, low, unknown