code: def _resize_nearest(dst, src):
      """
      Internal method.
  
      Resize image src to dst using nearest neighbors filtering.
      Images must be grayscale, i.e. :code:`len(shape) == 3`.
  
      Parameters
      ----------
      dst: numpy.ndarray of type np.float32
          output image
      src: numpy.ndarray of type np.float32
          input image
      """
      h_src, w_src = src.shape
      h_dst, w_dst = dst.shape
  
      for y_dst in prange(h_dst):
          for x_dst in range(w_dst):
              x_src = max(0, min(w_src - 1, x_dst * w_src // w_dst))
              y_src = max(0, min(h_src - 1, y_dst * h_src // h_dst))
  
              dst[y_dst, x_dst] = src[y_src, x_src]
  
imports: import numpy
  from numba import njit, prange
label_desc: Use image node_id 2 for calling a global function with example usage: _resize_nearest(dst, src) without return types