code: def reduction(
      self, dtype, src_dtype, reduction_type, value
  ) -> Union[tuple[str, ...], str]:
      line = self.parent_handler.reduction(
          dtype, src_dtype, reduction_type, value
      )
      num_values = reduction_num_outputs(reduction_type)
      varnames = [
          f"tmp{next(self.var_counter)}" for _ in range(num_values)
      ]
      self.output.writeline(f"{','.join(varnames)} = {line}")
      return tuple(varnames) if num_values > 1 else varnames[0]
  
imports: from __future__ import annotations
  import itertools
  from contextlib import contextmanager
  from itertools import chain
  from threading import local
  from typing import Any, Callable, TYPE_CHECKING, Union
  from unittest.mock import patch
  import sympy
  from torch._inductor.utils import IndentedBuffer
  from torch.fx.graph import inplace_methods, magic_methods
  from .utils import reduction_num_outputs, sympy_str, sympy_symbol
label_desc: Use image node_id 4 for calling the KernelFormatterHandler obj's underlying member method code with example usage: obj.reduction(dtype, src_dtype, reduction_type, value) and returns: unknown