code: def _tile_one_chunk(cls, op):
      out = op.outputs[0]
      chunk_op = op.copy().reset_key()
      chunk = chunk_op.new_chunk(
          op.input.chunks,
          shape=out.shape,
          order=out.order,
          index=(0,) * out.ndim,
      )
  
      new_op = op.copy()
      return new_op.new_tensors(
          op.inputs,
          shape=out.shape,
          order=out.order,
          chunks=[chunk],
          nsplits=tuple((s,) for s in out.shape),
      )
  
imports: import itertools
  import numpy
  from ....None import opcodes
  from ....core import recursive_tile
  from ....core.operand import OperandStage
  from ....serialization.serializables import FieldTypes, KeyField, BoolField, TupleField
  from ....config import options
  from ....utils import has_unknown_shape, require_module
  from ...core import TensorOrder
  from ...operands import TensorMapReduceOperand, TensorOperandMixin, TensorShuffleProxy
  from ...datasource import ascontiguousarray, array, zeros
  from ...arithmetic import equal
  from ...utils import decide_chunk_sizes
  from ...array_utils import as_same_device, device, cp
label_desc: Use image node_id 11 for calling the TensorSquareform obj's underlying member method code with example usage: obj._tile_one_chunk(cls, op) and returns: new_op