code: def tile(cls, op: "CollectPorts"):
      chunks = []
      if op.inputs:
          chunk_iter = itertools.cycle(op.inputs[0].chunks)
      else:
          chunk_iter = itertools.repeat(None)
      for idx, (worker, inp) in enumerate(zip(op.workers, chunk_iter)):
          new_op = op.copy().reset_key()
          new_op._workers = [worker]
          new_op.expect_worker = worker
          new_op.stage = OperandStage.map
          new_op._tileable_key = op.outputs[0].key
          new_op._index = idx
          new_op._pure_depends = [True]
          inps = [inp] if inp else None
          chunks.append(
              new_op.new_chunk(
                  inps, index=(idx,), shape=(1,), dtype=np.dtype(int)
              )
          )
  
      concat_op = TensorConcatenate(axis=0, dtype=chunks[0].dtype)
      concat_chunk = concat_op.new_chunk(
          chunks, shape=(len(op.workers),), index=(0,)
      )
  
      new_op = op.copy().reset_key()
      params = op.outputs[0].params
      params.update(
          dict(chunks=[concat_chunk], nsplits=((len(op.workers),),))
      )
      return new_op.new_tileables(op.inputs, **params)
  
imports: import itertools
  import socket
  import numpy
  from ...None import opcodes
  from ...core.operand import OperandStage
  from ...serialization.serializables import FieldTypes, Int32Field, ListField, StringField
  from ...tensor.merge import TensorConcatenate
  from ...utils import get_next_port
  from ..operands import LearnOperand, LearnOperandMixin, OutputType
label_desc: Use image node_id 6 for calling the CollectPorts obj's underlying member method code with example usage: obj.tile(cls, op) and returns: new_op