code: def test_select_dtypes_not_an_attr_but_still_valid_dtype(
      self, using_infer_string
  ):
      df = DataFrame(
          {
              "a": list("abc"),
              "b": list(range(1, 4)),
              "c": np.arange(3, 6).astype("u1"),
              "d": np.arange(4.0, 7.0, dtype="float64"),
              "e": [True, False, True],
              "f": pd.date_range("now", periods=3).values,
          }
      )
      df["g"] = df.f.diff()
      assert not hasattr(np, "u8")
      r = df.select_dtypes(include=["i8", "O"], exclude=["timedelta"])
      if using_infer_string:
          e = df[["b"]]
      else:
          e = df[["a", "b"]]
      tm.assert_frame_equal(r, e)
  
      r = df.select_dtypes(include=["i8", "O", "timedelta64[ns]"])
      if using_infer_string:
          e = df[["b", "g"]]
      else:
          e = df[["a", "b", "g"]]
      tm.assert_frame_equal(r, e)
  
imports: import numpy
  import pytest
  from pandas.core.dtypes.dtypes import ExtensionDtype
  import pandas
  from pandas import DataFrame, Timestamp
  import pandas._testing
  from pandas.core.arrays import ExtensionArray
label_desc: Use image node_id 10 for calling the TestSelectDtypes obj's underlying member method code with example usage: obj.test_select_dtypes_not_an_attr_but_still_valid_dtype(using_infer_string) without return types