code: def _convert_grouper(axis, 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, (list, Series, Index, np.ndarray)):
          if len(grouper) != len(axis):
              raise ValueError("Grouper and axis must be same length")
          return grouper
      else:
          return grouper
  
imports: import warnings
  import numpy
  import pandas.compat
  from pandas.compat import callable, zip
  from pandas.util._decorators import cache_readonly
  from pandas.core.dtypes.common import ensure_categorical, is_categorical_dtype, is_datetime64_dtype, is_hashable, is_list_like, is_scalar, is_timedelta64_dtype
  from pandas.core.dtypes.generic import ABCSeries
  import pandas.core.algorithms
  from pandas.core.arrays import Categorical, ExtensionArray
  import pandas.core.common
  from pandas.core.frame import DataFrame
  from pandas.core.groupby.ops import BaseGrouper
  from pandas.core.index 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