code: def test_rolling_corr_cov_other_same_size_as_groups(
      self, f, expected_val
  ):
      # GH 42915
      df = DataFrame(
          {
              "value": range(10),
              "idx1": [1] * 5 + [2] * 5,
              "idx2": [1, 2, 3, 4, 5] * 2,
          }
      ).set_index(["idx1", "idx2"])
      other = DataFrame(
          {"value": range(5), "idx2": [1, 2, 3, 4, 5]}
      ).set_index("idx2")
      result = getattr(df.groupby(level=0).rolling(2), f)(other)
      expected_data = ([np.nan] + [expected_val] * 4) * 2
      expected = DataFrame(
          expected_data,
          columns=["value"],
          index=MultiIndex.from_arrays(
              [
                  [1] * 5 + [2] * 5,
                  [1] * 5 + [2] * 5,
                  list(range(1, 6)) * 2,
              ],
              names=["idx1", "idx1", "idx2"],
          ),
      )
      tm.assert_frame_equal(result, expected)
  
imports: import numpy
  import pytest
  from pandas import DataFrame, DatetimeIndex, Index, MultiIndex, Series, Timestamp, date_range, to_datetime
  import pandas._testing
  from pandas.api.indexers import BaseIndexer
  from pandas.core.groupby.groupby import get_groupby
label_desc: Use image node_id 7 for calling the TestRolling obj's underlying member method code with example usage: obj.test_rolling_corr_cov_other_same_size_as_groups(f, expected_val) without return types