code: def testVariadicSortSeveral(self, dimension, key_type):
      if np.__version__ < "1.15":
          raise unittest.SkipTest(
              "np.take_along_axis was added in 1.15"
          )
      if key_type not in self._supported_key_types():
          return
      shape = (2, 3, 4)
      for value_type_1 in self._supported_key_types():
          for value_type_2 in self._supported_key_types():
              inputs = [
                  self._shuffled_arange(shape, key_type),
                  self._shuffled_arange(shape, value_type_1),
                  self._shuffled_arange(shape, value_type_2),
              ]
  
              # The first array is sorted, and the others are shuffled the same way
              sorted_indices = np.argsort(inputs[0], axis=dimension)
              expected = [
                  np.take_along_axis(
                      inp, sorted_indices, axis=dimension
                  )
                  for inp in inputs
              ]
              self.assertAllEqual(
                  np.sort(inputs[0], axis=dimension), expected[0]
              )
  
              @function.Defun(
                  key_type,
                  key_type,
                  value_type_1,
                  value_type_1,
                  value_type_2,
                  value_type_2,
              )
              def compare_lt(x1, x2, y1, y2, z1, z2):
                  del y1, y2, z1, z2
                  return x1 < x2
  
              def wrap_sort(*args):
                  return xla.variadic_sort(
                      args,  # Pass the arguments as a tuple
                      comparator=compare_lt,
                      dimension=dimension,
                      is_stable=False,
                  )
  
              self._assertOpOutputMatchesExpected(
                  wrap_sort, inputs, expected=expected
              )
  
imports: import unittest
  from absl.testing import parameterized
  import numpy
  from tensorflow.compiler.tests import xla_test
  from tensorflow.compiler.tf2xla.python import xla
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import function
  from tensorflow.python.framework import tensor
  from tensorflow.python.framework import test_util
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops import nn_ops
  from tensorflow.python.ops import sort_ops
  from tensorflow.python.platform import test
label_desc: Use image node_id 8 for calling the XlaSortOpTest obj's underlying member method code with example usage: obj.testVariadicSortSeveral(dimension, key_type) and returns: unknown, xla