text: # -*- coding: utf-8 -*-
  
  """
  Some types to aid in type-based alias analysis. See numba/metadata.py.
  """
  
  from __future__ import print_function, division, absolute_import
  
  from numba.typesystem.types import NumbaType
  from numba.typesystem import object_, npy_intp
  
  class TBAAType(NumbaType):
      is_tbaa = True
      typename = "tbaa_type"
      argnames = ["name", "root"]
  
  numpy_array = TBAAType("numpy array", object_)
  numpy_shape = TBAAType("numpy shape", npy_intp.pointer())
  numpy_strides = TBAAType("numpy strides", npy_intp.pointer())
  numpy_ndim = TBAAType("numpy flags", npy_intp.pointer())
  numpy_dtype = TBAAType("numpy dtype", object_)
  numpy_base = TBAAType("numpy base", object_)
  numpy_flags = TBAAType("numpy flags", npy_intp.pointer())
  