code: def downcast_intp_index(arr):
      """
      Down-cast index array to np.intp dtype if it is of a larger dtype.
  
      Raise an error if the array contains a value that is too large for
      intp.
      """
      if arr.dtype.itemsize > np.dtype(np.intp).itemsize:
          if arr.size == 0:
              return arr.astype(np.intp)
          maxval = arr.max()
          minval = arr.min()
          if (
              maxval > np.iinfo(np.intp).max
              or minval < np.iinfo(np.intp).min
          ):
              raise ValueError(
                  "Cannot deal with arrays with indices larger "
                  "than the machine maximum address size "
                  "(e.g. 64-bit indices on 32-bit machine)."
              )
          return arr.astype(np.intp)
      return arr
  
imports: import sys
  import operator
  import numpy
  from math import prod
  import scipy.sparse
  from scipy._lib._util import np_long, np_ulong
label_desc: Use image node_id 4 for calling a global function with example usage: downcast_intp_index(arr) and returns: arr, arr, arr