code: def testUnaryOperationsNonUniqueIndices(self, fmt, op, dtype, kwds):
      shape = (4, 5)
  
      # Note: we deliberately test non-unique indices here.
      if fmt == "BCOO":
          rng = sptu.rand_bcoo(self.rng())
      elif fmt == "BCSR":
          rng = sptu.rand_bcsr(self.rng())
      else:
          raise ValueError(f"Unrecognized {fmt=}")
      mat = rng(shape, dtype)
  
      sparse_result = self.sparsify(partial(op, **kwds))(mat)
      dense_result = op(mat.todense(), **kwds)
  
      self.assertArraysAllClose(sparse_result.todense(), dense_result)
  
      # Ops that commute with addition should not deduplicate indices.
      if op in [jnp.copy, lax.neg, lax.real, lax.imag]:
          self.assertArraysAllClose(sparse_result.indices, mat.indices)
          if fmt == "BCSR":
              self.assertArraysAllClose(
                  sparse_result.indptr, mat.indptr
              )
  
imports: from functools import partial
  import math
  import operator
  from absl.testing import absltest
  from absl.testing import parameterized
  import numpy
  import jax
  from jax import config, jit, lax
  import jax.numpy
  import jax._src.test_util
  from jax.experimental.sparse import BCOO, BCSR, sparsify, todense, SparseTracer
  from jax.experimental.sparse.transform import arrays_to_spvalues, spvalues_to_arrays, sparsify_raw, SparsifyValue, SparsifyEnv
  from jax.experimental.sparse.util import CuSparseEfficiencyWarning
  from jax.experimental.sparse import test_util
label_desc: Use image node_id 34 for calling the SparsifyTest obj's underlying member method code with example usage: obj.testUnaryOperationsNonUniqueIndices(fmt, op, dtype, kwds) without return types