code: def test_take(self, tz):
      # GH#10295
      idx = date_range(
          "2011-01-01", "2011-01-31", freq="D", name="idx", tz=tz
      )
  
      result = idx.take([0])
      assert result == Timestamp("2011-01-01", tz=idx.tz)
  
      result = idx.take([0, 1, 2])
      expected = date_range(
          "2011-01-01", "2011-01-03", freq="D", tz=idx.tz, name="idx"
      )
      tm.assert_index_equal(result, expected)
      assert result.freq == expected.freq
  
      result = idx.take([0, 2, 4])
      expected = date_range(
          "2011-01-01", "2011-01-05", freq="2D", tz=idx.tz, name="idx"
      )
      tm.assert_index_equal(result, expected)
      assert result.freq == expected.freq
  
      result = idx.take([7, 4, 1])
      expected = date_range(
          "2011-01-08", "2011-01-02", freq="-3D", tz=idx.tz, name="idx"
      )
      tm.assert_index_equal(result, expected)
      assert result.freq == expected.freq
  
      result = idx.take([3, 2, 5])
      expected = DatetimeIndex(
          ["2011-01-04", "2011-01-03", "2011-01-06"],
          dtype=idx.dtype,
          freq=None,
          name="idx",
      )
      tm.assert_index_equal(result, expected)
      assert result.freq is None
  
      result = idx.take([-3, 2, 5])
      expected = DatetimeIndex(
          ["2011-01-29", "2011-01-03", "2011-01-06"],
          dtype=idx.dtype,
          freq=None,
          name="idx",
      )
      tm.assert_index_equal(result, expected)
      assert result.freq is None
  
imports: from datetime import date, datetime, time, timedelta
  import numpy
  import pytest
  from pandas._libs import index
  from pandas.compat.numpy import np_long
  import pandas
  from pandas import DatetimeIndex, Index, Timestamp, bdate_range, date_range, notna
  import pandas._testing
  from pandas.tseries.frequencies import to_offset
label_desc: Use image node_id 3 for calling the TestTake obj's underlying member method code with example usage: obj.test_take(tz) without return types