code: def indexable(*iterables):
      """Make arrays indexable for cross-validation.
  
      Checks consistent length, passes through None, and ensures that everything
      can be indexed by converting sparse matrices to csr and converting
      non-interable objects to arrays.
  
      Parameters
      ----------
      *iterables : lists, dataframes, arrays, sparse matrices
          List of objects to ensure sliceability.
      """
      result = []
      for X in iterables:
          if sp.issparse(X):
              result.append(X.tocsr())
          elif hasattr(X, "__getitem__") or hasattr(X, "iloc"):
              result.append(X)
          elif X is None:
              result.append(X)
          else:
              result.append(np.array(X))
      check_consistent_length(*result)
      return result
  
imports: import warnings
  import numbers
  import numpy
  import scipy.sparse
  from ..externals import six
  from ..utils.fixes import signature
  from .deprecation import deprecated
  from ..exceptions import DataConversionWarning
  from ..exceptions import NonBLASDotWarning
  from ..exceptions import NotFittedError
label_desc: Use image node_id 8 for calling a global function with example usage: indexable() and returns: result