class_docstr: Considers those perturbed inputs adversarial whose predicted class
  matches the target class.
  
  Args:
      target_classes: Tensor with target classes ``(batch,)``.
code: def __repr__(self) -> str:
      return f"{self.__class__.__name__}({self.target_classes!r})"
  
imports: from typing import TypeVar, Any
  from abc import ABC, abstractmethod
  import eagerpy
label_desc: Use image node_id 2 for calling the TargetedMisclassification obj's underlying member method code with example usage: obj.__repr__() and returns: self, str, self, str