code: def add_duplicate_types(supported_np_types):
      # Update supported numpy types with named scalar types that map to the same set of dtypes
      dtypes = {np.dtype(t) for t in supported_np_types}
      supported_np_types.update(
          scalar
          for scalar in sctypes_aliases
          if np.dtype(scalar) in dtypes
      )
  
imports: import itertools
  import logging
  import os
  import pickle
  import re
  from io import BytesIO, StringIO
  import numpy
  import pytest
  from numpy.testing import assert_array_almost_equal, assert_array_equal
  from ..None import imageglobals
  from ..analyze import AnalyzeHeader, AnalyzeImage
  from ..arraywriters import WriterError
  from ..casting import sctypes_aliases
  from ..nifti1 import Nifti1Header
  from ..optpkg import optional_package
  from ..spatialimages import HeaderDataError, HeaderTypeError, supported_np_types
  from ..testing import assert_dt_equal, bytesio_filemap, bytesio_round_trip, data_path, suppress_warnings
  from ..tmpdirs import InTemporaryDirectory
  from .None import test_spatialimages
  from .None import test_wrapstruct
label_desc: Use image node_id 1 for calling a global function with example usage: add_duplicate_types(supported_np_types) without return types