text: """
  Define names for built-in types that aren't directly accessible as a builtin.
  """
  import sys
  
  # Iterators in Python aren't a matter of type but of protocol.  A large
  # and changing number of builtin types implement *some* flavor of
  # iterator.  Don't check the type!  Use hasattr to check for both
  # "__iter__" and "__next__" attributes instead.
  
  def _f(): pass
  FunctionType = type(_f)
  LambdaType = type(lambda: None)         # Same as FunctionType
  CodeType = type(_f.__code__)
  MappingProxyType = type(type.__dict__)
  SimpleNamespace = type(sys.implementation)
  
  def _cell_factory():
      a = 1
      def f():
          nonlocal a
      return f.__closure__[0]
  CellType = type(_cell_factory())
  
  def _g():
      yield 1
  GeneratorType = type(_g())
  
  async def _c(): pass
  _c = _c()
  CoroutineType = type(_c)
  _c.close()  # Prevent ResourceWarning
  
  async def _ag():
      yield
  _ag = _ag()
  AsyncGeneratorType = type(_ag)
  
  class _C:
      def _m(self): pass
  MethodType = type(_C()._m)
  
  BuiltinFunctionType = type(len)
  BuiltinMethodType = type([].append)     # Same as BuiltinFunctionType
  
  WrapperDescriptorType = type(object.__init__)
  MethodWrapperType = type(object().__str__)
  MethodDescriptorType = type(str.join)
  ClassMethodDescriptorType = type(dict.__dict__['fromkeys'])
  
  ModuleType = type(sys)
  
  try:
      raise TypeError
  except TypeError:
      tb = sys.exc_info()[2]
      TracebackType = type(tb)
      FrameType = type(tb.tb_frame)
      tb = None; del tb
  
  # For Jython, the following two types are identical
  GetSetDescriptorType = type(FunctionType.__code__)
  MemberDescriptorType = type(FunctionType.__globals__)
  
  del sys, _f, _g, _C, _c, _ag  # Not for export
  
  
  # Provide a PEP 3115 compliant mechanism for class creation
  def new_class(name, bases=(), kwds=None, exec_body=None):
      """Create a class object dynamically using the appropriate metaclass."""
      resolved_bases = resolve_bases(bases)
      meta, ns, kwds = prepare_class(name, resolved_bases, kwds)
      if exec_body is not None:
          exec_body(ns)
      if resolved_bases is not bases:
          ns['__orig_bases__'] = bases
      return meta(name, resolved_bases, ns, **kwds)
  
  def resolve_bases(bases):
      """Resolve MRO entries dynamically as specified by PEP 560."""
      new_bases = list(bases)
      updated = False
      shift = 0
      for i, base in enumerate(bases):
          if isinstance(base, type):
              continue
          if not hasattr(base, "__mro_entries__"):
              continue
          new_base = base.__mro_entries__(bases)
          updated = True
          if not isinstance(new_base, tuple):
              raise TypeError("__mro_entries__ must return a tuple")
          else:
              new_bases[i+shift:i+shift+1] = new_base
              shift += len(new_base) - 1
      if not updated:
          return bases
      return tuple(new_bases)
  
  def prepare_class(name, bases=(), kwds=None):
      """Call the __prepare__ method of the appropriate metaclass.
  
      Returns (metaclass, namespace, kwds) as a 3-tuple
  
      *metaclass* is the appropriate metaclass
      *namespace* is the prepared class namespace
      *kwds* is an updated copy of the passed in kwds argument with any
      'metaclass' entry removed. If no kwds argument is passed in, this will
      be an empty dict.
      """
      if kwds is None:
          kwds = {}
      else:
          kwds = dict(kwds) # Don't alter the provided mapping
      if 'metaclass' in kwds:
          meta = kwds.pop('metaclass')
      else:
          if bases:
              meta = type(bases[0])
          else:
              meta = type
      if isinstance(meta, type):
          # when meta is a type, we first determine the most-derived metaclass
          # instead of invoking the initial candidate directly
          meta = _calculate_meta(meta, bases)
      if hasattr(meta, '__prepare__'):
          ns = meta.__prepare__(name, bases, **kwds)
      else:
          ns = {}
      return meta, ns, kwds
  
  def _calculate_meta(meta, bases):
      """Calculate the most derived metaclass."""
      winner = meta
      for base in bases:
          base_meta = type(base)
          if issubclass(winner, base_meta):
              continue
          if issubclass(base_meta, winner):
              winner = base_meta
              continue
          # else:
          raise TypeError("metaclass conflict: "
                          "the metaclass of a derived class "
                          "must be a (non-strict) subclass "
                          "of the metaclasses of all its bases")
      return winner
  
  class DynamicClassAttribute:
      """Route attribute access on a class to __getattr__.
  
      This is a descriptor, used to define attributes that act differently when
      accessed through an instance and through a class.  Instance access remains
      normal, but access to an attribute through a class will be routed to the
      class's __getattr__ method; this is done by raising AttributeError.
  
      This allows one to have properties active on an instance, and have virtual
      attributes on the class with the same name.  (Enum used this between Python
      versions 3.4 - 3.9 .)
  
      Subclass from this to use a different method of accessing virtual attributes
      and still be treated properly by the inspect module. (Enum uses this since
      Python 3.10 .)
  
      """
      def __init__(self, fget=None, fset=None, fdel=None, doc=None):
          self.fget = fget
          self.fset = fset
          self.fdel = fdel
          # next two lines make DynamicClassAttribute act the same as property
          self.__doc__ = doc or fget.__doc__
          self.overwrite_doc = doc is None
          # support for abstract methods
          self.__isabstractmethod__ = bool(getattr(fget, '__isabstractmethod__', False))
  
      def __get__(self, instance, ownerclass=None):
          if instance is None:
              if self.__isabstractmethod__:
                  return self
              raise AttributeError()
          elif self.fget is None:
              raise AttributeError("unreadable attribute")
          return self.fget(instance)
  
      def __set__(self, instance, value):
          if self.fset is None:
              raise AttributeError("can't set attribute")
          self.fset(instance, value)
  
      def __delete__(self, instance):
          if self.fdel is None:
              raise AttributeError("can't delete attribute")
          self.fdel(instance)
  
      def getter(self, fget):
          fdoc = fget.__doc__ if self.overwrite_doc else None
          result = type(self)(fget, self.fset, self.fdel, fdoc or self.__doc__)
          result.overwrite_doc = self.overwrite_doc
          return result
  
      def setter(self, fset):
          result = type(self)(self.fget, fset, self.fdel, self.__doc__)
          result.overwrite_doc = self.overwrite_doc
          return result
  
      def deleter(self, fdel):
          result = type(self)(self.fget, self.fset, fdel, self.__doc__)
          result.overwrite_doc = self.overwrite_doc
          return result
  
  
  class _GeneratorWrapper:
      # TODO: Implement this in C.
      def __init__(self, gen):
          self.__wrapped = gen
          self.__isgen = gen.__class__ is GeneratorType
          self.__name__ = getattr(gen, '__name__', None)
          self.__qualname__ = getattr(gen, '__qualname__', None)
      def send(self, val):
          return self.__wrapped.send(val)
      def throw(self, tp, *rest):
          return self.__wrapped.throw(tp, *rest)
      def close(self):
          return self.__wrapped.close()
      @property
      def gi_code(self):
          return self.__wrapped.gi_code
      @property
      def gi_frame(self):
          return self.__wrapped.gi_frame
      @property
      def gi_running(self):
          return self.__wrapped.gi_running
      @property
      def gi_yieldfrom(self):
          return self.__wrapped.gi_yieldfrom
      cr_code = gi_code
      cr_frame = gi_frame
      cr_running = gi_running
      cr_await = gi_yieldfrom
      def __next__(self):
          return next(self.__wrapped)
      def __iter__(self):
          if self.__isgen:
              return self.__wrapped
          return self
      __await__ = __iter__
  
  def coroutine(func):
      """Convert regular generator function to a coroutine."""
  
      if not callable(func):
          raise TypeError('types.coroutine() expects a callable')
  
      if (func.__class__ is FunctionType and
          getattr(func, '__code__', None).__class__ is CodeType):
  
          co_flags = func.__code__.co_flags
  
          # Check if 'func' is a coroutine function.
          # (0x180 == CO_COROUTINE | CO_ITERABLE_COROUTINE)
          if co_flags & 0x180:
              return func
  
          # Check if 'func' is a generator function.
          # (0x20 == CO_GENERATOR)
          if co_flags & 0x20:
              # TODO: Implement this in C.
              co = func.__code__
              # 0x100 == CO_ITERABLE_COROUTINE
              func.__code__ = co.replace(co_flags=co.co_flags | 0x100)
              return func
  
      # The following code is primarily to support functions that
      # return generator-like objects (for instance generators
      # compiled with Cython).
  
      # Delay functools and _collections_abc import for speeding up types import.
      import functools
      import _collections_abc
      @functools.wraps(func)
      def wrapped(*args, **kwargs):
          coro = func(*args, **kwargs)
          if (coro.__class__ is CoroutineType or
              coro.__class__ is GeneratorType and coro.gi_code.co_flags & 0x100):
              # 'coro' is a native coroutine object or an iterable coroutine
              return coro
          if (isinstance(coro, _collections_abc.Generator) and
              not isinstance(coro, _collections_abc.Coroutine)):
              # 'coro' is either a pure Python generator iterator, or it
              # implements collections.abc.Generator (and does not implement
              # collections.abc.Coroutine).
              return _GeneratorWrapper(coro)
          # 'coro' is either an instance of collections.abc.Coroutine or
          # some other object -- pass it through.
          return coro
  
      return wrapped
  
  GenericAlias = type(list[int])
  UnionType = type(int | str)
  
  EllipsisType = type(Ellipsis)
  NoneType = type(None)
  NotImplementedType = type(NotImplemented)
  
  __all__ = [n for n in globals() if n[:1] != '_']
  