code: def test_dataframe_where_with_different_options():
      pdf = pd.DataFrame({"A": [1, 2, 3], "B": [3, 4, 5]})
      gdf = cudf.from_pandas(pdf)
  
      # numpy array
      boolean_mask = np.array(
          [[False, True], [True, False], [False, True]]
      )
  
      expect = pdf.where(boolean_mask, -pdf)
      got = gdf.where(boolean_mask, -gdf)
  
      assert_eq(expect, got)
  
      # with single scalar
      expect = pdf.where(boolean_mask, 8)
      got = gdf.where(boolean_mask, 8)
  
      assert_eq(expect, got)
  
      # with multi scalar
      expect = pdf.where(boolean_mask, [8, 9])
      got = gdf.where(boolean_mask, [8, 9])
  
      assert_eq(expect, got)
  
imports: import re
  from decimal import Decimal
  import numpy
  import pandas
  import pytest
  import cudf
  from cudf.core._compat import PANDAS_GE_134, PANDAS_GE_150
  from cudf.core.dtypes import Decimal32Dtype, Decimal64Dtype, Decimal128Dtype
  from cudf.testing._utils import INTEGER_TYPES, NUMERIC_TYPES, assert_eq, assert_exceptions_equal
label_desc: Use image node_id 19 for calling a global function with example usage: test_dataframe_where_with_different_options() without return types