class_docstr: Orchestrates a concatenation operation for BlockManagers
class_docstr_tok: ["Orchestrates","a","concatenation","operation","for","BlockManagers"]
code: def _get_sample_object(
      self,
      objs: list[Series | DataFrame],
      ndims: set[int],
      keys,
      names,
      levels,
  ) -> tuple[Series | DataFrame, list[Series | DataFrame]]:
      # get the sample
      # want the highest ndim that we have, and must be non-empty
      # unless all objs are empty
      sample: Series | DataFrame | None = None
      if len(ndims) > 1:
          max_ndim = max(ndims)
          for obj in objs:
              if obj.ndim == max_ndim and np.sum(obj.shape):
                  sample = obj
                  break
  
      else:
          # filter out the empties if we have not multi-index possibilities
          # note to keep empty Series as it affect to result columns / name
          non_empties = [
              obj for obj in objs if sum(obj.shape) > 0 or obj.ndim == 1
          ]
  
          if len(non_empties) and (
              keys is None
              and names is None
              and levels is None
              and not self.intersect
          ):
              objs = non_empties
              sample = objs[0]
  
      if sample is None:
          sample = objs[0]
      return sample, objs
  
imports: from __future__ import annotations
  from collections import abc
  from typing import TYPE_CHECKING, Callable, Literal, cast, overload
  import warnings
  import numpy
  from pandas._config import using_copy_on_write
  from pandas.util._decorators import cache_readonly
  from pandas.util._exceptions import find_stack_level
  from pandas.core.dtypes.common import is_bool, is_iterator
  from pandas.core.dtypes.concat import concat_compat
  from pandas.core.dtypes.generic import ABCDataFrame, ABCSeries
  from pandas.core.dtypes.missing import isna
  from pandas.core.arrays.categorical import factorize_from_iterable, factorize_from_iterables
  import pandas.core.common
  from pandas.core.indexes.api import Index, MultiIndex, all_indexes_same, default_index, ensure_index, get_objs_combined_axis, get_unanimous_names
  from pandas.core.internals import concatenate_managers
label_desc: Use image node_id 4 for calling the _Concatenator obj's underlying member method code with example usage: obj._get_sample_object(objs, ndims, keys, names, levels) and returns: sample,  objs