code: def test_timestamp_multiindex_indexer():
      # https://github.com/pandas-dev/pandas/issues/26944
      idx = MultiIndex.from_product(
          [
              date_range(
                  "2019-01-01T00:15:33",
                  periods=100,
                  freq="h",
                  name="date",
              ),
              ["x"],
              [3],
          ]
      )
      df = DataFrame({"foo": np.arange(len(idx))}, idx)
      result = df.loc[pd.IndexSlice["2019-1-2":, "x", :], "foo"]
      qidx = MultiIndex.from_product(
          [
              date_range(
                  start="2019-01-02T00:15:33",
                  end="2019-01-05T03:15:33",
                  freq="h",
                  name="date",
              ),
              ["x"],
              [3],
          ]
      )
      should_be = pd.Series(
          data=np.arange(24, len(qidx) + 24), index=qidx, name="foo"
      )
      tm.assert_series_equal(result, should_be)
  
imports: from datetime import timedelta
  import re
  import numpy
  import pytest
  from pandas._libs import index
  from pandas.errors import InvalidIndexError, PerformanceWarning
  import pandas
  from pandas import Categorical, DataFrame, Index, MultiIndex, date_range
  import pandas._testing
label_desc: Use image node_id 5 for calling a global function with example usage: test_timestamp_multiindex_indexer() without return types