code: def random_brightness(tens: Tensor) -> Tensor:
      r"""
          Add random brightness to an image.
  
      Args:
          tens (Tensor) : Any regular ``caer.Tensor``.
  
      Returns:
          Tensor of shape ``(height, width, channels)``.
  
      Examples::
  
          >> tens = caer.data.sunrise()
          >> filtered = caer.transforms.random_brightness(tens, rgb=True)
          >> filtered
          (427, 640, 3)
  
      """
      rand_br_coeff = 2 * np.random.uniform(
          0, 1
      )  # Generates a value between 0.0 and 2.0
      return adjust_brightness(tens, rand_br_coeff)
  
file_path: caer/caer/transforms/color.py
imports: import numpy
  import random
  import cv2
  import math
  from ..coreten import Tensor, to_tensor
  from ..annotations import Union, List, Tuple
  from .functional import is_list, _hls, _exposure_process
label_desc: Use image node_id 4 for calling a global function with example usage: random_brightness(tens) and returns: adjust_brightness