code: def check_debug_one(model, dataset):
      for x, y in dataset:
          model.debug_one(x)
          if model._supervised:
              model.learn_one(x, y)
          else:
              model.learn_one(x)
          model.debug_one(x)
          break
  
imports: from __future__ import annotations
  import copy
  import inspect
  import pickle
  import random
  from .utils import assert_predictions_are_close, seed_params
label_desc: Use image node_id 5 for calling a global function with example usage: check_debug_one(model, dataset) without return types