code: def is_datetimelike_v_object(a, b):
      
  
      if not hasattr(a, 'dtype'):
          a = np.asarray(a)
      if not hasattr(b, 'dtype'):
          b = np.asarray(b)
  
      is_datetimelike = needs_i8_conversion
      return ((is_datetimelike(a) and is_object_dtype(b)) or
              (is_datetimelike(b) and is_object_dtype(a)))
docs: Check if we are comparing a datetime-like object to an object instance.
  
      Parameters
      ----------
      a : array-like, scalar
          The first object to check.
      b : array-like, scalar
          The second object to check.
  
      Returns
      -------
      boolean
          Whether we return a comparing a datetime-like to an object instance.
  
      Examples
      --------
      >>> obj = object()
      >>> dt = np.datetime64(pd.datetime(2017, 1, 1))
      >>>
      >>> is_datetimelike_v_object(obj, obj)
      False
      >>> is_datetimelike_v_object(dt, dt)
      False
      >>> is_datetimelike_v_object(obj, dt)
      True
      >>> is_datetimelike_v_object(dt, obj)  # symmetric check
      True
      >>> is_datetimelike_v_object(np.array([dt]), obj)
      True
      >>> is_datetimelike_v_object(np.array([obj]), dt)
      True
      >>> is_datetimelike_v_object(np.array([dt]), np.array([obj]))
      True
      >>> is_datetimelike_v_object(np.array([obj]), np.array([obj]))
      False
      >>> is_datetimelike_v_object(np.array([dt]), np.array([1]))
      False
      >>> is_datetimelike_v_object(np.array([dt]), np.array([dt]))
      False