class_docstr: Pair for any type of inputs that will be compared with the `==` operator.
  
  .. note::
  
      Since this will instantiate for any kind of inputs, it should only be used as fallback after all other pairs
      couldn't handle the inputs.
class_docstr_tok: ["Pair","for","any","type","of","inputs","that","will","be","compared","with","the","`","==","`","operator",".","..","note",":",":","Since","this","will","instantiate","for","any","kind","of","inputs",",","it","should","only","be","used","as","fallback","after","all","other","pairs","could","n't","handle","the","inputs","."]
code: def compare(self) -> None:
      try:
          equal = self.actual == self.expected
      except Exception as error:
          # We are not using `self._raise_error_meta` here since we need the exception chaining
          raise ErrorMeta(
              ValueError,
              f"{self.actual} == {self.expected} failed with:\n{error}.",
              id=self.id,
          ) from error
  
      if not equal:
          self._fail(
              AssertionError, f"{self.actual} != {self.expected}"
          )
  
imports: import abc
  import cmath
  import collections.abc
  import contextlib
  import warnings
  from typing import Any, Callable, Collection, Dict, List, NoReturn, Optional, Sequence, Tuple, Type, Union
  import torch
label_desc: Use image node_id 1 for calling the ObjectPair obj's underlying member method code with example usage: obj.compare() without return types