code: def test_constructor_infer_nat_dt_like(
      self, pos, klass, dtype, ctor, nulls_fixture, request
  ):
      if isinstance(nulls_fixture, Decimal):
          # We dont cast these to datetime64/timedelta64
          pytest.skip(
              f"We don't cast {type(nulls_fixture).__name__} to "
              "datetime64/timedelta64"
          )
  
      expected = klass([NaT, NaT])
      assert expected.dtype == dtype
      data = [ctor]
      data.insert(pos, nulls_fixture)
  
      warn = None
      if nulls_fixture is NA:
          expected = Index([NA, NaT])
          mark = pytest.mark.xfail(
              reason="Broken with np.NaT ctor; see GH 31884"
          )
          request.applymarker(mark)
          # GH#35942 numpy will emit a DeprecationWarning within the
          #  assert_index_equal calls.  Since we can't do anything
          #  about it until GH#31884 is fixed, we suppress that warning.
          warn = DeprecationWarning
  
      result = Index(data)
  
      with tm.assert_produces_warning(warn):
          tm.assert_index_equal(result, expected)
  
      result = Index(np.array(data, dtype=object))
  
      with tm.assert_produces_warning(warn):
          tm.assert_index_equal(result, expected)
  
imports: from datetime import datetime, timedelta, timezone
  from decimal import Decimal
  import numpy
  import pytest
  from pandas._libs.tslibs.timezones import maybe_get_tz
  from pandas import NA, Categorical, CategoricalIndex, DatetimeIndex, Index, IntervalIndex, MultiIndex, NaT, PeriodIndex, Series, TimedeltaIndex, Timestamp, array, date_range, period_range, timedelta_range
  import pandas._testing
label_desc: Use image node_id 10 for calling the TestIndexConstructorInference obj's underlying member method code with example usage: obj.test_constructor_infer_nat_dt_like(pos, klass, dtype, ctor, nulls_fixture, request) without return types