code: def _get_indexer(
      self,
      target: Index,
      method: str | None = None,
      limit: int | None = None,
      tolerance: Any | None = None,
  ) -> npt.NDArray[np.intp]:
      if isinstance(target, IntervalIndex):
          # We only get here with not self.is_overlapping
          # -> at most one match per interval in target
          # want exact matches -> need both left/right to match, so defer to
          # left/right get_indexer, compare elementwise, equality -> match
          indexer = self._get_indexer_unique_sides(target)
  
      elif not is_object_dtype(target.dtype):
          # homogeneous scalar index: use IntervalTree
          # we should always have self._should_partial_index(target) here
          target = self._maybe_convert_i8(target)
          indexer = self._engine.get_indexer(target.values)
      else:
          # heterogeneous scalar index: defer elementwise to get_loc
          # we should always have self._should_partial_index(target) here
          return self._get_indexer_pointwise(target)[0]
  
      return ensure_platform_int(indexer)
  
imports: from __future__ import annotations
  from operator import le, lt
  import textwrap
  from typing import TYPE_CHECKING, Any, Literal
  import numpy
  from pandas._libs import lib
  from pandas._libs.interval import Interval, IntervalMixin, IntervalTree
  from pandas._libs.tslibs import BaseOffset, Period, Timedelta, Timestamp, to_offset
  from pandas.errors import InvalidIndexError
  from pandas.util._decorators import Appender, cache_readonly
  from pandas.util._exceptions import rewrite_exception
  from pandas.core.dtypes.cast import find_common_type, infer_dtype_from_scalar, maybe_box_datetimelike, maybe_downcast_numeric, maybe_upcast_numeric_to_64bit
  from pandas.core.dtypes.common import ensure_platform_int, is_float_dtype, is_integer, is_integer_dtype, is_list_like, is_number, is_object_dtype, is_scalar, pandas_dtype
  from pandas.core.dtypes.dtypes import DatetimeTZDtype, IntervalDtype
  from pandas.core.dtypes.missing import is_valid_na_for_dtype
  from pandas.core.algorithms import unique
  from pandas.core.arrays.datetimelike import validate_periods
  from pandas.core.arrays.interval import IntervalArray, _interval_shared_docs
  import pandas.core.common
  from pandas.core.indexers import is_valid_positional_slice
  import pandas.core.indexes.base
  from pandas.core.indexes.base import Index, _index_shared_docs, ensure_index, maybe_extract_name
  from pandas.core.indexes.datetimes import DatetimeIndex, date_range
  from pandas.core.indexes.extension import ExtensionIndex, inherit_names
  from pandas.core.indexes.multi import MultiIndex
  from pandas.core.indexes.timedeltas import TimedeltaIndex, timedelta_range
label_desc: Use image node_id 19 for calling the IntervalIndex obj's underlying member method code with example usage: obj._get_indexer(target, method, limit, tolerance) and returns: ensure_platform_int, self