code: def test_color_normalize(self):
      for _ in range(10):
          mean = np.random.rand(3) * 255
          std = np.random.rand(3) + 1
          width = np.random.randint(100, 500)
          height = np.random.randint(100, 500)
          src = np.random.rand(height, width, 3) * 255.0
          mx_result = mx.image.color_normalize(
              mx.nd.array(src), mx.nd.array(mean), mx.nd.array(std)
          )
          assert_almost_equal(
              mx_result.asnumpy(), (src - mean) / std, atol=1e-3
          )
  
imports: import os
  import mxnet
  import numpy
  import scipy.ndimage
  from mxnet.test_utils import *
  from common import xfail_when_nonstandard_decimal_separator
  import shutil
  import tempfile
  import unittest
  import pytest
label_desc: Use image node_id 12 for calling the TestImage obj's underlying member method code with example usage: obj.test_color_normalize() without return types