code: def isintlike(x):
      """Is x appropriate as an index into a sparse matrix? Returns True
      if it can be cast safely to a machine int.
      """
      # Fast-path check to eliminate non-scalar values. operator.index would
      # catch this case too, but the exception catching is slow.
      if np.ndim(x) != 0:
          return False
      try:
          operator.index(x)
      except (TypeError, ValueError):
          try:
              loose_int = bool(int(x) == x)
          except (TypeError, ValueError):
              return False
          if loose_int:
              warnings.warn(
                  "Inexact indices into sparse matrices are deprecated",
                  DeprecationWarning,
              )
          return loose_int
      return True
  
imports: from __future__ import division, print_function, absolute_import
  import operator
  import warnings
  import numpy
  from scipy._lib._version import NumpyVersion
label_desc: Use image node_id 10 for calling a global function with example usage: isintlike(x) and returns: True, False, loose_int, False