code: def numba_typify_RandomState(state, **kwargs):
      # The numba_typify in this case is just an passthrough function
      # that synchronizes Numba's internal random state with the current
      # RandomState object
      ints, index = state.get_state()[1:3]
      ptr = _helperlib.rnd_get_np_state_ptr()
      _helperlib.rnd_set_state(ptr, (index, [int(x) for x in ints]))
      return state
  
imports: from textwrap import dedent, indent
  from typing import Any, Callable, Optional
  import numba.np.unsafe.ndarray
  import numpy
  from numba import _helperlib, types
  from numba.core import cgutils
  from numba.extending import NativeValue, box, models, register_model, typeof_impl, unbox
  from numpy.random import RandomState
  import pytensor.tensor.random.basic
  from pytensor.graph.basic import Apply
  from pytensor.graph.op import Op
  from pytensor.link.numba.dispatch import basic
  from pytensor.link.numba.dispatch.basic import numba_funcify, numba_typify
  from pytensor.link.utils import compile_function_src, get_name_for_object, unique_name_generator
  from pytensor.tensor.basic import get_vector_length
  from pytensor.tensor.random.type import RandomStateType
label_desc: Use image node_id 4 for calling a global function with example usage: numba_typify_RandomState(state) and returns: state