class_docstr: Mixin for adding ._positional_selector to GroupBy.
code: def _make_mask_from_list(
      self, args: Iterable[int]
  ) -> bool | np.ndarray:
      positive = [arg for arg in args if arg >= 0]
      negative = [-arg - 1 for arg in args if arg < 0]
  
      mask: bool | np.ndarray = False
  
      if positive:
          mask |= np.isin(self._ascending_count, positive)
  
      if negative:
          mask |= np.isin(self._descending_count, negative)
  
      return mask
  
imports: from __future__ import annotations
  from collections.abc import Iterable
  from typing import TYPE_CHECKING, Literal, cast
  import numpy
  from pandas.util._decorators import cache_readonly, doc
  from pandas.core.dtypes.common import is_integer, is_list_like
label_desc: Use image node_id 4 for calling the GroupByIndexingMixin obj's underlying member method code with example usage: obj._make_mask_from_list(args) and returns: mask