code: def test_ufunc(self):
      # GH 13853 make sure ufunc is applied to fill_value
      sparse = SparseArray([1, np.nan, 2, np.nan, -2])
      result = SparseArray([1, np.nan, 2, np.nan, 2])
      tm.assert_sp_array_equal(abs(sparse), result)
      tm.assert_sp_array_equal(np.abs(sparse), result)
  
      sparse = SparseArray([1, -1, 2, -2], fill_value=1)
      result = SparseArray(
          [1, 2, 2], sparse_index=sparse.sp_index, fill_value=1
      )
      tm.assert_sp_array_equal(abs(sparse), result)
      tm.assert_sp_array_equal(np.abs(sparse), result)
  
      sparse = SparseArray([1, -1, 2, -2], fill_value=-1)
      exp = SparseArray([1, 1, 2, 2], fill_value=1)
      tm.assert_sp_array_equal(abs(sparse), exp)
      tm.assert_sp_array_equal(np.abs(sparse), exp)
  
      sparse = SparseArray([1, np.nan, 2, np.nan, -2])
      result = SparseArray(np.sin([1, np.nan, 2, np.nan, -2]))
      tm.assert_sp_array_equal(np.sin(sparse), result)
  
      sparse = SparseArray([1, -1, 2, -2], fill_value=1)
      result = SparseArray(np.sin([1, -1, 2, -2]), fill_value=np.sin(1))
      tm.assert_sp_array_equal(np.sin(sparse), result)
  
      sparse = SparseArray([1, -1, 0, -2], fill_value=0)
      result = SparseArray(np.sin([1, -1, 0, -2]), fill_value=np.sin(0))
      tm.assert_sp_array_equal(np.sin(sparse), result)
  
imports: import re
  import numpy
  import pytest
  from pandas._libs.sparse import IntIndex
  import pandas
  from pandas import SparseDtype, isna
  import pandas._testing
  from pandas.core.arrays.sparse import SparseArray
label_desc: Use image node_id 2 for calling the TestSparseArrayAnalytics obj's underlying member method code with example usage: obj.test_ufunc() without return types