code: def test_no_aliasing_2b(self):
      # B and A take one another's values
      # no copying is necessary since each one is updated.
      # The twist one `test_no_aliasing_2` is that each shared var is updated
      # with a view of the other one.
  
      orig_a = np.zeros((2, 2)) + 0.5
      orig_b = np.zeros((2, 2)) - 0.5
      A = self.shared(orig_a)
      B = self.shared(orig_b)
  
      data_of_a = data_of(A)
      data_of_b = data_of(B)
  
      f = pfunc([], [], updates=[(A, B[:, ::-1]), (B, A.T)])
      # pytensor.printing.debugprint(f)
      f()
      # correctness (doesn't actually test the view...)
      assert np.all(data_of(A) == -0.5)
      assert np.all(data_of(B) == +0.5)
  
      # shared vars may not be aliased
      assert not np.may_share_memory(data_of(A), data_of(B))
  
      # pytensor should have been smart enough to not make copies
      if config.mode not in ["DebugMode", "DEBUG_MODE", "FAST_COMPILE"]:
          # We don't ask DebugMode and FAST_COMPILE not to make copy.
          # We have the right to do so.
          assert np.all(data_of(A) < 5)
          data_of_b += 10
          assert np.all(data_of(A) > 5)
          data_of_b -= 10
  
          assert np.all(data_of(B) < 5)
          data_of_a += 10
          assert np.all(data_of(B) > 5)
          data_of_a -= 10
  
          # N.B. may_share_memory is what we mean, but does it work?
          assert np.may_share_memory(data_of(A), data_of_b)
          assert np.may_share_memory(data_of(B), data_of_a)
  
imports: import numpy
  import pytest
  import pytensor.tensor
  from pytensor.compile import UnusedInputError, get_mode
  from pytensor.compile.function import function, pfunc
  from pytensor.compile.function.pfunc import rebuild_collect_shared
  from pytensor.compile.io import In
  from pytensor.compile.sharedvalue import shared
  from pytensor.configdefaults import config
  from pytensor.graph.utils import MissingInputError
  from pytensor.misc.safe_asarray import _asarray
  from pytensor.tensor.math import sum
  from pytensor.tensor.type import bscalar, bvector, dmatrices, dmatrix, dscalar, dvector, fscalar, fvector, imatrix, iscalar, ivector, ivectors, lscalar, wvector
  from pytensor.utils import PYTHON_INT_BITWIDTH
label_desc: Use image node_id 10 for calling the TestAliasingRules obj's underlying member method code with example usage: obj.test_no_aliasing_2b() without return types