fixup! Remove some entries from nitpick_ignore

Author: AA-Turner

Doc/library/dataclasses.rst

@@ -439,7 +439,7 @@ Module contents
    function is used.
 
    This function is not strictly required, because any Python
-   mechanism for creating a new class with :attr:`!__annotations__` can
+   mechanism for creating a new class with :attr:`~object.__annotations__` can
    then apply the :func:`@dataclass <dataclass>` function to convert that class to
    a dataclass.  This function is provided as a convenience.  For
    example::

Doc/tutorial/controlflow.rst

@@ -1081,7 +1081,7 @@ Function Annotations
 information about the types used by user-defined functions (see :pep:`3107` and
 :pep:`484` for more information).
 
-:term:`Annotations <function annotation>` are stored in the :attr:`!__annotations__`
+:term:`Annotations <function annotation>` are stored in the :attr:`~object.__annotations__`
 attribute of the function as a dictionary and have no effect on any other part of the
 function.  Parameter annotations are defined by a colon after the parameter name, followed
 by an expression evaluating to the value of the annotation.  Return annotations are

Doc/whatsnew/3.2.rst

@@ -458,7 +458,7 @@ Some smaller changes made to the core Python language are:
   :class:`~collections.defaultdict`, :class:`~shelve.Shelf`,
   :class:`~configparser.ConfigParser`, or :mod:`dbm`.  It is also useful with
   custom :class:`dict` subclasses that normalize keys before look-up or that
-  supply a :meth:`__missing__` method for unknown keys::
+  supply a :meth:`~object.__missing__` method for unknown keys::
 
     >>> import shelve
     >>> d = shelve.open('tmp.shl')