code: def __init__(self, dmm, fe_type):
      members = [
          # TODO: We can add support for boxing and unboxing
          # the attributes that describe a RandomState so that
          # they can be accessed inside njit functions, if required.
          ("state_key", types.Array(types.uint32, 1, "C")),
      ]
      models.StructModel.__init__(self, dmm, fe_type, members)
  
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 1 to create a new RandomStateNumbaModel object from inherited base classes: models with example: obj = RandomStateNumbaModel(dmm, fe_type)