code: def test_inference_batch_single_identical(self):
      super().test_inference_batch_single_identical(
          expected_max_diff=1e-2
      )
  
imports: import unittest
  import numpy
  from diffusers import KandinskyV22CombinedPipeline, KandinskyV22Img2ImgCombinedPipeline, KandinskyV22InpaintCombinedPipeline
  from diffusers.utils.testing_utils import enable_full_determinism, require_torch_gpu, torch_device
  from ..test_pipelines_common import PipelineTesterMixin
  from .test_kandinsky import Dummies
  from .test_kandinsky_img2img import Dummies
  from .test_kandinsky_inpaint import Dummies
  from .test_kandinsky_prior import Dummies
label_desc: Use image node_id 5 for calling the KandinskyV22PipelineInpaintCombinedFastTests obj's underlying member method code with example usage: obj.test_inference_batch_single_identical() without return types