code: def _convert_grouper(axis: Index, grouper):
      if isinstance(grouper, dict):
          return grouper.get
      elif isinstance(grouper, Series):
          if grouper.index.equals(axis):
              return grouper._values
          else:
              return grouper.reindex(axis)._values
      elif isinstance(grouper, MultiIndex):
          return grouper._values
      elif isinstance(
          grouper, (list, tuple, Index, Categorical, np.ndarray)
      ):
          if len(grouper) != len(axis):
              raise ValueError("Grouper and axis must be same length")
  
          if isinstance(grouper, (list, tuple)):
              grouper = com.asarray_tuplesafe(grouper)
          return grouper
      else:
          return grouper
  
imports: from __future__ import annotations
  from typing import TYPE_CHECKING, final
  import warnings
  import numpy
  from pandas._config import using_copy_on_write, warn_copy_on_write
  from pandas._libs import lib
  from pandas._libs.tslibs import OutOfBoundsDatetime
  from pandas.errors import InvalidIndexError
  from pandas.util._decorators import cache_readonly
  from pandas.util._exceptions import find_stack_level
  from pandas.core.dtypes.common import is_list_like, is_scalar
  from pandas.core.dtypes.dtypes import CategoricalDtype
  from pandas.core import algorithms
  from pandas.core.arrays import Categorical, ExtensionArray
  import pandas.core.common
  from pandas.core.frame import DataFrame
  from pandas.core.groupby import ops
  from pandas.core.groupby.categorical import recode_for_groupby
  from pandas.core.indexes.api import CategoricalIndex, Index, MultiIndex
  from pandas.core.series import Series
  from pandas.io.formats.printing import pprint_thing
label_desc: Use image node_id 3 for calling a global function with example usage: _convert_grouper(axis, grouper) and returns: grouper, grouper, grouper, grouper, grouper, grouper