code: def translate(image: Tensor, x: int, y: int) -> Tensor:
      r"""Translates a given image across the x-axis and the y-axis
  
      Args:
          x (int): shifts the image right (positive) or left (negative)
          y (int): shifts the image down (positive) or up (negative)
  
      Returns:
          The translated image
  
      """
      transMat = np.float32([[1, 0, x], [0, 1, y]])
      return cv.warpAffine(
          image, transMat, (image.shape[1], image.shape[0])
      )
  
imports: import numpy
  import cv2
  import random
  import collections
  from ..coreten import Tensor, to_tensor
  from .._internal import _check_target_size
  from ..globals import INTER_AREA, INTER_CUBIC, INTER_NEAREST, INTER_LINEAR
  from ..annotations import Union, Tuple, Optional
label_desc: Use image node_id 10 for calling a global function with example usage: translate(image, x, y) and returns: cv