code: def test_sparse_copy():
      @numba.njit
      def test_fn(x):
          y = x.copy()
          return (
              y is not x
              and np.all(x.data == y.data)
              and np.all(x.indices == y.indices)
          )
  
      x_val = sp.sparse.csr_matrix(np.eye(100))
  
      assert test_fn(x_val)
  
file_path: pytensor/tests/link/numba/test_sparse.py
imports: import numpy
  import pytest
  import scipy
  import pytensor.link.numba.dispatch.sparse
  from pytensor import config
  from pytensor.sparse import Dot, SparseTensorType
  from tests.link.numba.test_basic import compare_numba_and_py
label_desc: Use image node_id 5 for calling a global function with example usage: test_sparse_copy() and returns: unknown