code: def test_sparse_input_aliasing_affecting_inplace_operations(self):
      sp = pytest.importorskip("scipy", minversion="0.7.0")
  
      from pytensor import sparse
  
      # Note: to trigger this bug with pytensor rev 4586:2bc6fc7f218b,
      #        you need to make in inputs mutable (so that inplace
      #        operations are used) and to break the elemwise composition
      #        with some non-elemwise op (here dot)
  
      x = sparse.SparseTensorType("csc", dtype="float64")()
      y = sparse.SparseTensorType("csc", dtype="float64")()
      f = function(
          [In(x, mutable=True), In(y, mutable=True)], (x + y) + (x + y)
      )
      # Test 1. If the same variable is given twice
  
      # Compute bogus values
      m = sp.sparse.csc_matrix(
          np.asarray(
              [
                  [1, 0, 0, 0, 0],
                  [0, 1, 0, 0, 0],
                  [0, 0, 1, 0, 0],
                  [0, 0, 0, 1, 0],
                  [0, 0, 0, 0, 1],
              ],
              dtype="float64",
          )
      )
      bogus_vals = f(m, m)
      # Since we used inplace operation v and m may be corrupted
      # so we need to recreate them
  
      m = sp.sparse.csc_matrix(
          np.asarray(
              [
                  [1, 0, 0, 0, 0],
                  [0, 1, 0, 0, 0],
                  [0, 0, 1, 0, 0],
                  [0, 0, 0, 1, 0],
                  [0, 0, 0, 0, 1],
              ],
              dtype="float64",
          )
      )
      m_copy = m.copy()
      vals = f(m, m_copy)
  
      assert np.allclose(vals.todense(), bogus_vals.todense())
  
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 3 for calling the TestAliasingRules obj's underlying member method code with example usage: obj.test_sparse_input_aliasing_affecting_inplace_operations() without return types