code: def test_take_fill_value_with_timezone(self):
      idx = DatetimeIndex(
          ["2011-01-01", "2011-02-01", "2011-03-01"],
          name="xxx",
          tz="US/Eastern",
      )
      result = idx.take(np.array([1, 0, -1]))
      expected = DatetimeIndex(
          ["2011-02-01", "2011-01-01", "2011-03-01"],
          name="xxx",
          tz="US/Eastern",
      )
      tm.assert_index_equal(result, expected)
  
      # fill_value
      result = idx.take(np.array([1, 0, -1]), fill_value=True)
      expected = DatetimeIndex(
          ["2011-02-01", "2011-01-01", "NaT"],
          name="xxx",
          tz="US/Eastern",
      )
      tm.assert_index_equal(result, expected)
  
      # allow_fill=False
      result = idx.take(
          np.array([1, 0, -1]), allow_fill=False, fill_value=True
      )
      expected = DatetimeIndex(
          ["2011-02-01", "2011-01-01", "2011-03-01"],
          name="xxx",
          tz="US/Eastern",
      )
      tm.assert_index_equal(result, expected)
  
      msg = (
          "When allow_fill=True and fill_value is not None, "
          "all indices must be >= -1"
      )
      with pytest.raises(ValueError, match=msg):
          idx.take(np.array([1, 0, -2]), fill_value=True)
      with pytest.raises(ValueError, match=msg):
          idx.take(np.array([1, 0, -5]), fill_value=True)
  
      msg = "out of bounds"
      with pytest.raises(IndexError, match=msg):
          idx.take(np.array([1, -5]))
  
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 7 for calling the TestTake obj's underlying member method code with example usage: obj.test_take_fill_value_with_timezone() without return types