code: def tile(cls, op):
      out_chunks = []
      scheduling_hint = SchedulingHint(fuseable=False)
      for idx, chunk in enumerate(op.inputs[0].chunks):
          chunk_op = op.copy().reset_key()
          chunk_op.scheduling_hint = scheduling_hint
          chunk_op.operator_index = chunk.index
          out_chunk = chunk_op.new_chunk(
              [chunk], dtype=np.dtype("O"), shape=(1,), index=(idx,)
          )
          out_chunks.append(out_chunk)
      out_chunks = cls._process_out_chunks(op, out_chunks)
  
      new_op = op.copy().reset_key()
      return new_op.new_tensors(
          op.inputs,
          shape=(len(out_chunks),),
          dtype=np.dtype("O"),
          chunks=out_chunks,
          nsplits=((1,),),
      )
  
imports: from typing import Tuple
  import numpy
  from ...None import opcodes
  from ...core.operand.base import SchedulingHint
  from ...serialization.serializables import FieldTypes, KeyField, StringField, TupleField
  from ...storage.base import StorageLevel
  from ...utils import lazy_import
  from ..datasource import tensor
  from .core import TensorDataStore
label_desc: Use image node_id 3 for calling the TensorVineyardDataStoreChunk obj's underlying member method code with example usage: obj.tile(cls, op) and returns: new_op