code: def assert_indexing_slices_equivalent(
      ser: Series, l_slc: slice, i_slc: slice
  ) -> None:
      """
      Check that ser.iloc[i_slc] matches ser.loc[l_slc] and, if applicable,
      ser[l_slc].
      """
      expected = ser.iloc[i_slc]
  
      assert_series_equal(ser.loc[l_slc], expected)
  
      if not is_integer_dtype(ser.index):
          # For integer indices, .loc and plain getitem are position-based.
          assert_series_equal(ser[l_slc], expected)
  
imports: from __future__ import annotations
  import operator
  from typing import Literal, cast
  import numpy
  from pandas._libs.missing import is_matching_na
  from pandas._libs.sparse import SparseIndex
  import pandas._libs.testing
  from pandas._libs.tslibs.np_datetime import compare_mismatched_resolutions
  from pandas.core.dtypes.common import is_bool, is_categorical_dtype, is_extension_array_dtype, is_integer_dtype, is_interval_dtype, is_number, is_numeric_dtype, needs_i8_conversion
  from pandas.core.dtypes.dtypes import CategoricalDtype, DatetimeTZDtype, PandasDtype
  from pandas.core.dtypes.missing import array_equivalent
  import pandas
  from pandas import Categorical, DataFrame, DatetimeIndex, Index, IntervalIndex, MultiIndex, PeriodIndex, RangeIndex, Series, TimedeltaIndex
  from pandas.core.algorithms import take_nd
  from pandas.core.arrays import DatetimeArray, ExtensionArray, IntervalArray, PeriodArray, TimedeltaArray
  from pandas.core.arrays.datetimelike import DatetimeLikeArrayMixin
  from pandas.core.arrays.string_ import StringDtype
  from pandas.core.indexes.api import safe_sort_index
  from pandas.io.formats.printing import pprint_thing
label_desc: Use image node_id 24 for calling a global function with example usage: assert_indexing_slices_equivalent(ser, l_slc, i_slc) without return types