code: def make_multibonacci_modulo(history_length, limit):
      """Creates a function that generates the Multibonacci sequence modulo n."""
  
      def sequence_fn(seq):
          return np.sum(seq[-history_length:]) % limit
  
      return sequence_fn
  
imports: import functools
  import io
  from unittest import mock
  from absl.testing import absltest
  from absl.testing import parameterized
  import gym
  import numpy
  from trax import models
  from trax import test_utils
  from trax.data import inputs
  from trax.layers import test_utils
  from trax.rl import serialization_utils
  from trax.rl import space_serializer
  from trax.supervised import callbacks
  from trax.supervised import lr_schedules
  from trax.supervised import trainer_lib
  from trax.supervised import training
label_desc: Use image node_id 2 for calling a global function with example usage: make_multibonacci_modulo(history_length, limit) and returns: sequence_fn, unknown