code: def test_sparse(self):
      sp = pytest.importorskip("scipy")
      mySymbolicSparseList = TypedListType(
          sparse.SparseTensorType("csr", pytensor.config.floatX)
      )()
      mySymbolicSparse = sparse.csr_matrix()
  
      z = Count()(mySymbolicSparseList, mySymbolicSparse)
  
      f = pytensor.function([mySymbolicSparseList, mySymbolicSparse], z)
  
      x = sp.sparse.csr_matrix(
          random_lil((10, 40), pytensor.config.floatX, 3)
      )
      y = sp.sparse.csr_matrix(
          random_lil((10, 40), pytensor.config.floatX, 3)
      )
  
      assert f([x, y, y], y) == 2
  
imports: import numpy
  import pytest
  import pytensor
  import pytensor.typed_list
  from pytensor import sparse
  from pytensor.tensor.type import TensorType, integer_dtypes, matrix, scalar, tensor3, vector
  from pytensor.tensor.type_other import SliceType
  from pytensor.tensor.variable import TensorVariable
  from pytensor.typed_list.basic import Append, Count, Extend, GetItem, Index, Insert, Length, Remove, Reverse, make_list
  from pytensor.typed_list.type import TypedListType
label_desc: Use image node_id 4 for calling the TestCount obj's underlying member method code with example usage: obj.test_sparse() without return types