code: def test_construction_with_conversions(self):
      # convert from a numpy array of non-ns timedelta64; as of 2.0 this does
      #  *not* convert
      arr = np.array([1, 2, 3], dtype="timedelta64[s]")
      df = DataFrame(index=range(3))
      df["A"] = arr
      expected = DataFrame(
          {"A": pd.timedelta_range("00:00:01", periods=3, freq="s")},
          index=range(3),
      )
      tm.assert_numpy_array_equal(df["A"].to_numpy(), arr)
  
      expected = DataFrame(
          {
              "dt1": Timestamp("20130101"),
              "dt2": date_range("20130101", periods=3).astype("M8[s]"),
              # 'dt3' : date_range('20130101 00:00:01',periods=3,freq='s'),
              # FIXME: don't leave commented-out
          },
          index=range(3),
      )
      assert expected.dtypes["dt1"] == "M8[s]"
      assert expected.dtypes["dt2"] == "M8[s]"
  
      df = DataFrame(index=range(3))
      df["dt1"] = np.datetime64("2013-01-01")
      df["dt2"] = np.array(
          ["2013-01-01", "2013-01-02", "2013-01-03"],
          dtype="datetime64[D]",
      )
  
      # df['dt3'] = np.array(['2013-01-01 00:00:01','2013-01-01
      # 00:00:02','2013-01-01 00:00:03'],dtype='datetime64[s]')
      # FIXME: don't leave commented-out
  
      tm.assert_frame_equal(df, expected)
  
imports: from datetime import datetime, timedelta
  import itertools
  import numpy
  import pytest
  from pandas.errors import PerformanceWarning
  import pandas
  from pandas import Categorical, DataFrame, Series, Timestamp, date_range, option_context
  import pandas._testing
  from pandas.core.internals.blocks import NumpyBlock
label_desc: Use image node_id 9 for calling the TestDataFrameBlockInternals obj's underlying member method code with example usage: obj.test_construction_with_conversions() without return types