code: def _tile_single(cls, op: "TensorBinCount"):
      out = op.outputs[0]
      new_chunk_op = op.copy().reset_key()
      chunk_inputs = [op.inputs[0].chunks[0]]
      if op.weights is not None:
          chunk_inputs.append(op.weights.chunks[0])
      new_chunk = new_chunk_op.new_chunk(
          chunk_inputs, index=(0,), **out.params
      )
  
      new_op = op.copy().reset_key()
      return new_op.new_tileables(
          op.inputs,
          chunks=[new_chunk],
          nsplits=((np.nan,),),
          **out.params,
      )
  
imports: import itertools
  import functools
  from typing import Optional
  import numpy
  import pandas
  from ...None import opcodes, options, get_context
  from ...core import recursive_tile, OutputType
  from ...core.operand import OperandStage
  from ...serialization.serializables import Int64Field, ReferenceField
  from ...utils import ceildiv, has_unknown_shape
  from ..datasource import tensor
  from ..operands import TensorOperandMixin, TensorMapReduceOperand
label_desc: Use image node_id 3 for calling the TensorBinCount obj's underlying member method code with example usage: obj._tile_single(cls, op) and returns: new_op