code: def _dense_1d(arr):
      if not sp.issparse(arr):
          return arr
      return arr.toarray().reshape(-1)
  
imports: from __future__ import absolute_import
  from distutils.version import LooseVersion
  from typing import Any, Optional, List, Tuple
  import numpy
  import scipy.sparse
  from sklearn.multiclass import OneVsRestClassifier
  from eli5.sklearn.unhashing import invert_hashing_and_fit, handle_hashing_vec
  from eli5._feature_names import FeatureNames
label_desc: Use image node_id 10 for calling a global function with example usage: _dense_1d(arr) and returns: arr, arr