code: def data_for_grouping(allow_in_pandas, dtype):
      """Data for factorization, grouping, and unique tests.
  
      Expected to be like [B, B, NA, NA, A, A, B, C]
  
      Where A < B < C and NA is missing
      """
      if dtype.numpy_dtype == "object":
          a, b, c = (1,), (2,), (3,)
      else:
          a, b, c = np.arange(3)
      return NumpyExtensionArray(
          np.array(
              [b, b, np.nan, np.nan, a, a, b, c],
              dtype=dtype.numpy_dtype,
          )
      )
  
imports: import numpy
  import pytest
  from pandas.core.dtypes.dtypes import NumpyEADtype
  import pandas
  import pandas._testing
  from pandas.api.types import is_object_dtype
  from pandas.core.arrays.numpy_ import NumpyExtensionArray
  from pandas.tests.extension import base
label_desc: Use image node_id 9 for calling a global function with example usage: data_for_grouping(allow_in_pandas, dtype) and returns: NumpyExtensionArray