code: def data_missing_for_sorting(dtype):
      if dtype.kind == "f":
          return pd.array([0.1, pd.NA, 0.0], dtype=dtype)
      elif dtype.kind == "b":
          return pd.array([True, np.nan, False], dtype=dtype)
      return pd.array([1, pd.NA, 0], dtype=dtype)
  
imports: import warnings
  import numpy
  import pytest
  from pandas.compat import IS64, is_platform_windows
  from pandas.compat.numpy import np_version_gt2
  from pandas.core.dtypes.common import is_float_dtype, is_signed_integer_dtype, is_unsigned_integer_dtype
  import pandas
  import pandas._testing
  from pandas.core.arrays.boolean import BooleanDtype
  from pandas.core.arrays.floating import Float32Dtype, Float64Dtype
  from pandas.core.arrays.integer import Int8Dtype, Int16Dtype, Int32Dtype, Int64Dtype, UInt8Dtype, UInt16Dtype, UInt32Dtype, UInt64Dtype
  from pandas.tests.extension import base
label_desc: Use image node_id 9 for calling a global function with example usage: data_missing_for_sorting(dtype) and returns: pd, pd, pd