code: def testBasic(self, is_batch_size_static):
      # Manually verify basic test case.
      global_batch_size = 8
      num_workers = 2
      num_replicas_per_worker = 2
      for worker_index in range(4):
          batch_sizes = distribute.batch_sizes_for_worker(
              global_batch_size,
              num_workers,
              num_replicas_per_worker,
              worker_index,
          )
          self.assertAllEqual(
              [2, 2, 2, 2], tensor_util.constant_value(batch_sizes)
          )
      self._test(
          global_batch_size,
          num_workers,
          num_replicas_per_worker,
          is_batch_size_static,
      )
  
imports: from absl.testing import parameterized
  import numpy
  from tensorflow.python.data.experimental.ops import distribute
  from tensorflow.python.data.kernel_tests import checkpoint_test_base
  from tensorflow.python.data.kernel_tests import test_base
  from tensorflow.python.data.ops import dataset_ops
  from tensorflow.python.data.util import nest
  from tensorflow.python.framework import combinations
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import tensor_shape
  from tensorflow.python.framework import tensor_util
  from tensorflow.python.ops import image_ops
  from tensorflow.python.ops.ragged import ragged_tensor
  from tensorflow.python.platform import test
label_desc: Use image node_id 2 for calling the BatchSizesForWorkerTest obj's underlying member method code with example usage: obj.testBasic(is_batch_size_static) without return types