code: def testSortKeyValGrad(
      self, shape, key_dtype, val_dtype, axis, is_stable
  ):
      rng = jtu.rand_default(self.rng())
  
      # This test relies on the property that wherever keys are tied, values are
      # too, since we don't guarantee the same ordering of values with equal keys.
      # To avoid that case, we generate unique keys (globally in the key array).
      def args_maker():
          flat_keys = np.arange(math.prod(shape), dtype=key_dtype)
          keys = self.rng().permutation(flat_keys).reshape(shape)
          values = rng(shape, val_dtype)
          return keys, values
  
      keys, values = args_maker()
  
      fun = lambda keys, values: lax.sort_key_val(
          keys, values, axis, is_stable
      )
      check_grads(
          fun, (keys, values), 2, ["fwd", "rev"], 1e-2, 1e-2, 1e-2
      )
  
imports: import collections
  from functools import partial
  import itertools
  import math
  from unittest import SkipTest
  from absl.testing import absltest
  from absl.testing import parameterized
  import numpy
  import jax
  from jax import dtypes
  from jax import lax
  from jax._src import test_util
  from jax._src.util import NumpyComplexWarning
  from jax.test_util import check_grads
  from jax import config
label_desc: Use image node_id 32 for calling the LaxAutodiffTest obj's underlying member method code with example usage: obj.testSortKeyValGrad(shape, key_dtype, val_dtype, axis, is_stable) and returns: keys,  values