code: def test_selective_stream_low_prob_transform_should_not_change_the_data(
      img_5x5,
  ):
      img = img_5x5
      dc = slc.DataContainer((img,), "I")
  
      ppl = slc.SelectiveStream(
          [
              slt.Rotate(angle_range=(90, 90), p=0),
              slt.Rotate(angle_range=(-90, -90), p=0),
          ]
      )
  
      dc_res = ppl(dc, return_torch=False)
  
      assert np.array_equal(dc.data, dc_res.data)
  
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 32 for calling a global function with example usage: test_selective_stream_low_prob_transform_should_not_change_the_data(img_5x5) without return types