code: def _get_replica_numpy(self, structured, strategy, replica_id):
      def select_replica(x):
          x = strategy.experimental_local_results(x)
          if len(x) == 1:
              return x.numpy()
          return x[replica_id].numpy()
  
      return nest.map_structure(select_replica, structured)
  
imports: import os
  from typing import Tuple
  from absl import flags
  from absl.testing import parameterized
  import numpy
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.distribute import tpu_strategy
  from tensorflow.python.distribute.cluster_resolver import tpu_cluster_resolver
  from tensorflow.python.eager import remote
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import sparse_tensor
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import gen_math_ops
  from tensorflow.python.ops import init_ops_v2
  from tensorflow.python.ops import math_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.platform import test
  from tensorflow.python.tpu import tpu_embedding_v2
  from tensorflow.python.tpu import tpu_embedding_v2_utils
  from tensorflow.python.util import nest
label_desc: Use image node_id 21 for calling the TPUEmbeddingBaseTest obj's underlying member method code with example usage: obj._get_replica_numpy(structured, strategy, replica_id) and returns: nest, x, x