class_docstr: Class surrounding CURAND kernels from CUDA 3.2.
  It allows for generating random numbers with uniform
  and normal probability function of various types.
code: def _prepare_skipahead(self):
      self.skip_ahead = self.module.get_function("skip_ahead")
      if self.generator_bits == 32:
          self.skip_ahead.prepare("PnI")
      if self.generator_bits == 64:
          self.skip_ahead.prepare("PnQ")
      self.skip_ahead_array = self.module.get_function(
          "skip_ahead_array"
      )
      self.skip_ahead_array.prepare("PnP")
  
imports: import numpy
  import pycuda.compiler
  import pycuda.driver
  import pycuda.gpuarray
  from pytools import memoize_method
label_desc: Use image node_id 2 for calling the _RandomNumberGeneratorBase obj's underlying member method code with example usage: obj._prepare_skipahead() without return types