code: def test_dataframe_with_different_types():
      # Testing for int and float
      pdf = pd.DataFrame(
          {
              "A": [111, 22, 31, 410, 56],
              "B": [-10.12, 121.2, 45.7, 98.4, 87.6],
          }
      )
      gdf = cudf.from_pandas(pdf)
      expect = pdf.where(pdf > 50, -pdf)
      got = gdf.where(gdf > 50, -gdf)
  
      assert_eq(expect, got)
  
      # Testing for string
      pdf = pd.DataFrame({"A": ["a", "bc", "cde", "fghi"]})
      gdf = cudf.from_pandas(pdf)
      pdf_mask = pd.DataFrame({"A": [True, False, True, False]})
      gdf_mask = cudf.from_pandas(pdf_mask)
      expect = pdf.where(pdf_mask, ["cudf"])
      got = gdf.where(gdf_mask, ["cudf"])
  
      assert_eq(expect, got)
  
      # Testing for categoriacal
      pdf = pd.DataFrame({"A": ["a", "b", "b", "c"]})
      pdf["A"] = pdf["A"].astype("category")
      gdf = cudf.from_pandas(pdf)
      expect = pdf.where(pdf_mask, "c")
      got = gdf.where(gdf_mask, ["c"])
  
      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 18 for calling a global function with example usage: test_dataframe_with_different_types() without return types