code: def unify_object(u, v, s):
      """Unify two Python objects
      Unifies their type and ``__dict__`` attributes
      >>> # xdoctest: +SKIP
      >>> class Foo(object):
      ...     def __init__(self, a, b):
      ...         self.a = a
      ...         self.b = b
      ...     def __str__(self):
      ...         return "Foo(%s, %s)"%(str(self.a), str(self.b))
      >>> x = var('x')
      >>> f = Foo(1, x)
      >>> g = Foo(1, 2)
      >>> unify_object(f, g, {})
      {~x: 2}
      """
      if type(u) != type(v):
          return False
      if hasattr(u, "__slots__"):
          return unify(
              [getattr(u, slot) for slot in u.__slots__],
              [getattr(v, slot) for slot in v.__slots__],
              s,
          )
      else:
          return unify(u.__dict__, v.__dict__, s)
  
file_path: pytorch/torch/fx/experimental/unification/more.py
imports: from .core import unify, reify
  from .dispatch import dispatch
label_desc: Use image node_id 6 for calling a global function with example usage: unify_object(u, v, s) and returns: False, unify, unify