code: def _tile_one_chunk(cls, op: "KMeansPlusPlusInit"):
      out = op.outputs[0]
  
      chunk_op = op.copy().reset_key()
      chunk_kw = out.params.copy()
      chunk_kw["index"] = (0, 0)
      chunk_inputs = [op.x.chunks[0], op.x_squared_norms.chunks[0]]
      chunk = chunk_op.new_chunk(chunk_inputs, kws=[chunk_kw])
  
      kw = out.params
      kw["chunks"] = [chunk]
      kw["nsplits"] = tuple((s,) for s in out.shape)
      new_op = op.copy()
      return new_op.new_tileables(op.inputs, kws=[kw])
  
imports: import inspect
  import numpy
  from ...None import opcodes
  from ...None import tensor
  from ...core import OutputType, recursive_tile
  from ...core.operand import OperandStage
  from ...serialization.serializables import KeyField, Int32Field
  from ...tensor.array_utils import as_same_device, device
  from ...tensor.core import TensorOrder
  from ...tensor.random import RandomStateField
  from ...utils import has_unknown_shape
  from ..metrics import euclidean_distances
  from ..operands import LearnOperand, LearnOperandMixin
label_desc: Use image node_id 9 for calling the KMeansPlusPlusInit obj's underlying member method code with example usage: obj._tile_one_chunk(cls, op) and returns: new_op