code: def testCreateZerosSlotFromVariableCopyXlaSharding(self):
      # slot_creator is used only in optimizer V1.
      with ops.Graph().as_default(), self.cached_session():
          v = variables.Variable([1.0, 2.5], name="var")
          v = xla_sharding.mesh_split(
              v, np.array([0, 1]), [0], use_sharding_op=False
          )
          with ops.control_dependencies(None):
              slot = slot_creator.create_zeros_slot(
                  v,
                  name="slot",
                  dtype=dtypes.float64,
                  copy_xla_sharding=True,
              )
          self.assertEqual(
              xla_sharding.get_tensor_sharding(v),
              xla_sharding.get_tensor_sharding(slot),
          )
  
imports: import numpy
  from local_xla.xla import xla_data_pb2
  from tensorflow.python.compiler.xla.experimental import xla_sharding
  from tensorflow.python.framework import constant_op
  from tensorflow.python.framework import dtypes
  from tensorflow.python.framework import ops
  from tensorflow.python.ops import array_ops
  from tensorflow.python.ops import cond
  from tensorflow.python.ops import partitioned_variables
  from tensorflow.python.ops import random_ops
  from tensorflow.python.ops import variable_scope
  from tensorflow.python.ops import variable_v1
  from tensorflow.python.ops import variables
  from tensorflow.python.platform import test
  from tensorflow.python.training import slot_creator
label_desc: Use image node_id 11 for calling the SlotCreatorTest obj's underlying member method code with example usage: obj.testCreateZerosSlotFromVariableCopyXlaSharding() without return types