code: def generate_code(self) -> Callable:
      def one_hotter(mixedup_labels, dst):
          dst.zero_()
          N = mixedup_labels.shape[0]
          dst[
              ch.arange(N), mixedup_labels[:, 0].long()
          ] = mixedup_labels[:, 2]
          mixedup_labels[:, 2] *= -1
          mixedup_labels[:, 2] += 1
          dst[
              ch.arange(N), mixedup_labels[:, 1].long()
          ] = mixedup_labels[:, 2]
          return dst
  
      return one_hotter
  
imports: from typing import Tuple
  from numba import objmode
  import numpy
  import torch
  import torch.nn.functional
  from dataclasses import replace
  from typing import Callable, Optional, Tuple
  from ..pipeline.allocation_query import AllocationQuery
  from ..pipeline.operation import Operation
  from ..pipeline.state import State
  from ..pipeline.compiler import Compiler
label_desc: Use image node_id 2 for calling the MixupToOneHot obj's underlying member method code with example usage: obj.generate_code() and returns: one_hotter, dst