code: def test_image_shape_equal_3_after_nested_flip(img_3x4):
      img = img_3x4
      dc = slc.DataContainer((img,), "I")
  
      stream = slc.Stream(
          [
              slt.Flip(p=1, axis=0),
              slt.Flip(p=1, axis=1),
              slc.Stream(
                  [
                      slt.Flip(p=1, axis=1),
                      slt.Flip(p=1, axis=0),
                  ]
              ),
          ]
      )
  
      dc = stream(dc, return_torch=False)
      img_res, _, _ = dc[0]
  
      assert np.array_equal(len(img.shape), 3)
  
imports: import itertools
  import random
  import cv2
  import numpy
  import pytest
  import torch
  import solt.core
  import solt.transforms
  import solt.utils
  from .fixtures import *
label_desc: Use image node_id 13 for calling a global function with example usage: test_image_shape_equal_3_after_nested_flip(img_3x4) without return types