code: def test_windowbase_splitter_get_n_split_unequal_series(y, CV):
      y_unequal = y.copy()  # avoid changing original dataset
      y_unequal.iloc[
          :3, :
      ] = None  # make the first series shorter than the rest
      y_unequal.dropna(inplace=True)
      cv = CV([1], 24, 1)
      assert cv.get_n_splits(y_unequal) == len(
          list(cv.split(y_unequal))
      ), "get_n_splits does not equal the number of splits in the output."
  
file_path: sktime/sktime/split/base/tests/test_base.py
imports: import numpy
  import pandas
  import pytest
  from sktime.forecasting.tests._config import TEST_FHS, TEST_FHS_TIMEDELTA, TEST_STEP_LENGTHS, TEST_WINDOW_LENGTHS
  from sktime.split.base._common import _inputs_are_supported
  from sktime.split.expandingwindow import ExpandingWindowSplitter
  from sktime.split.singlewindow import SingleWindowSplitter
  from sktime.split.slidingwindow import SlidingWindowSplitter
  from sktime.utils._testing.hierarchical import _make_hierarchical
  from sktime.utils._testing.panel import _make_panel
  from sktime.utils._testing.series import _make_series
label_desc: Use image node_id 6 for calling a global function with example usage: test_windowbase_splitter_get_n_split_unequal_series(y, CV) without return types