code: def testDynamicUpdateSlice(
      self, shape, dtype, start_indices, update_shape, rng_factory
  ):
      rng = rng_factory()
  
      def args_maker():
          return [
              rng(shape, dtype),
              rng(update_shape, dtype),
              onp.array(start_indices),
          ]
  
      # update's shape must be fully known.
      # TODO(wangpeng): Support turning off check_incomplete_shape for individual
      #   arguments.
      self._CompileAndCheck(
          npe.dynamic_update_slice,
          args_maker,
          check_incomplete_shape=False,
      )
  
imports: import collections
  import enum
  from functools import partial
  import itertools
  import unittest
  from absl.testing import absltest
  from absl.testing import parameterized
  import numpy
  import tensorflow.compat.v2
  import trax.tf_numpy.extensions
  import trax.tf_numpy.numpy
  from trax.tf_numpy.jax_tests.config import config
  import trax.tf_numpy.jax_tests.test_util
label_desc: Use image node_id 5 for calling the IndexedUpdateTest obj's underlying member method code with example usage: obj.testDynamicUpdateSlice(shape, dtype, start_indices, update_shape, rng_factory) and returns: list