code: def best_other_classes(
      logits: ep.Tensor, exclude: ep.Tensor
  ) -> ep.Tensor:
      other_logits = logits - ep.onehot_like(
          logits, exclude, value=ep.inf
      )
      return other_logits.argmax(axis=-1)
  
imports: import math
  from abc import abstractmethod, ABC
  from typing import Union, Optional, Any, Tuple
  import eagerpy
  from eagerpy.astensor import T
  from .base import MinimizationAttack, raise_if_kwargs, get_criterion, get_is_adversarial
  from .gradient_descent_base import uniform_l1_n_balls, normalize_lp_norms, uniform_l2_n_balls
  from ..None import Model, Misclassification, TargetedMisclassification
  from ..devutils import atleast_kd, flatten
  from ..distances import l1, linf, l2, l0, LpDistance
label_desc: Use image node_id 1 for calling a global function with example usage: best_other_classes(logits, exclude) and returns: other_logits