code: def _normalize_index(x, dim, name):
      if x < -dim or x >= dim:
          raise IndexError("{} ({}) out of range".format(name, x))
      if x < 0:
          x += dim
      return x
  
imports: import cupy
  from cupy import _core
  from cupyx.scipy.sparse._base import isspmatrix
  from cupyx.scipy.sparse._base import spmatrix
  from cupy.cuda import device
  from cupy.cuda import runtime
  import numpy
label_desc: Use image node_id 10 for calling a global function with example usage: _normalize_index(x, dim, name) and returns: x