code: def random_crop(img, size, return_param=False, copy=False):
      """Crop array randomly into `size`.
  
      The input image is cropped by a randomly selected region whose shape
      is :obj:`size`.
  
      Args:
          img (~numpy.ndarray): An image array to be cropped. This is in
              CHW format.
          size (tuple): The size of output image after cropping.
              This value is :math:`(height, width)`.
          return_param (bool): If :obj:`True`, this function returns
              information of slices.
          copy (bool): If :obj:`False`, a view of :obj:`img` is returned.
  
      Returns:
          ~numpy.ndarray or (~numpy.ndarray, dict):
  
          If :obj:`return_param = False`,
          returns an array :obj:`out_img` that is cropped from the input
          array.
  
          If :obj:`return_param = True`,
          returns a tuple whose elements are :obj:`out_img, param`.
          :obj:`param` is a dictionary of intermediate parameters whose
          contents are listed below with key, value-type and the description
          of the value.
  
          * **y_slice** (*slice*): A slice used to crop the input image.\
              The relation below holds together with :obj:`x_slice`.
          * **x_slice** (*slice*): Similar to :obj:`x_slice`.
  
              .. code::
  
                  out_img = img[:, y_slice, x_slice]
  
      """
      H, W = size
  
      if img.shape[1] >= H:
          y_offset = random.randint(0, img.shape[1] - H)
      else:
          raise ValueError(
              "shape of image needs to be larger than output shape"
          )
      y_slice = slice(y_offset, y_offset + H)
  
      if img.shape[2] >= W:
          x_offset = random.randint(0, img.shape[2] - W)
      else:
          raise ValueError(
              "shape of image needs to be larger than output shape"
          )
      x_slice = slice(x_offset, x_offset + W)
  
      img = img[:, y_slice, x_slice]
  
      if copy:
          img = img.copy()
  
      if return_param:
          return img, {"y_slice": y_slice, "x_slice": x_slice}
      else:
          return img
  
label_desc: Use image node_id 1 for calling a global function with example usage: random_crop(img, size, return_param, copy) and returns: img,  dict, img