code: def get_info(
      self,
      include_model_info=False,
      include_model_failures=False,
      **kwargs,
  ):
      learner_info = super().get_info(**kwargs)
      trainer = self.load_trainer()
      trainer_info = trainer.get_info(
          include_model_info=include_model_info,
          include_model_failures=include_model_failures,
      )
      learner_info.update(
          {
              "time_fit_preprocessing": self._time_fit_preprocessing,
              "time_fit_training": self._time_fit_training,
              "time_fit_total": self._time_fit_total,
              "time_limit": self._time_limit,
          }
      )
  
      learner_info.update(trainer_info)
      return learner_info
  
imports: import copy
  import logging
  import math
  import time
  import numpy
  import pandas
  from pandas import DataFrame
  from autogluon.common.utils.log_utils import convert_time_in_s_to_log_friendly
  from autogluon.common.utils.system_info import get_ag_system_info
  from autogluon.core.constants import AUTO_WEIGHT, BALANCE_WEIGHT, BINARY, MULTICLASS, QUANTILE, REGRESSION
  from autogluon.core.data import LabelCleaner
  from autogluon.core.data.cleaner import Cleaner
  from autogluon.core.utils.time import sample_df_for_time_func, time_func
  from autogluon.core.utils.utils import augment_rare_classes, extract_column
  from ..trainer import AutoTrainer
  from .abstract_learner import AbstractTabularLearner
label_desc: Use image node_id 9 for calling the DefaultLearner obj's underlying member method code with example usage: obj.get_info(include_model_info, include_model_failures) and returns: learner_info