code: def _tile_one_chunk(cls, op):
      out = op.outputs[0]
      chunk_op = op.copy().reset_key()
      chunk = chunk_op.new_chunk(
          [op.x.chunks[0], op.y.chunks[0]],
          shape=out.shape,
          order=out.order,
          index=(0, 0),
      )
      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),
      )
  
file_path: mars/mars/learn/metrics/pairwise/core.py
imports: import itertools
  import numpy
  from ....core import recursive_tile
  from ....serialization.serializables import Int64Field
  from ....tensor.operands import TensorOperand, TensorOperandMixin
  from ....tensor import tensor
  from ....utils import has_unknown_shape
  from ...utils import check_array
label_desc: Use image node_id 3 for calling the PairwiseDistances obj's underlying member method code with example usage: obj._tile_one_chunk(cls, op) and returns: new_op