      from collections.abc import Callable, Generator
      from plugins.train.model._base import ModelBase
      from lib.config import ConfigValueType
  
  logger = logging.getLogger(__name__)  # pylint: disable=invalid-name
  
  
  def _get_config(plugin_name: str,
                  configfile: str | None = None) -> dict[str, ConfigValueType]:
      """ Return the configuration for the requested trainer.
 
</s> remove     from collections.abc import Callable, Generator
 </s> add     from collections.abc import Callable </s> remove from lib.training import PreviewDataGenerator, TrainingDataGenerator
from lib.training.generator import BatchType, DataGenerator
 </s> add from lib.training import Feeder, LearningRateFinder </s> remove matplotlib.use("TkAgg")

 </s> add 
logger = logging.getLogger(__name__)
      from collections.abc import Callable, Generator
      from plugins.train.model._base import ModelBase
      from lib.config import ConfigValueType
  
logger = logging.getLogger(__name__)
  
  
  def _get_config(plugin_name: str,
                  configfile: str | None = None) -> dict[str, ConfigValueType]:
      """ Return the configuration for the requested trainer.
keep keep keep keep replace keep keep keep keep keep
 Learning Rate finder (#1341)

* Add LR Finder support structure

* Move trainer.Feeder to lib.training.generator

* Expose model.io

* Add lr_finder

* Update docs and locales

* Pre-PR fixups
  - Fix training graph not displaying
  - CI fixes
  - Switch lr finder progress to tqdm
  - Exit lr finder early on NaN
  - Display lr finder progress in GUI 
plugins/train/trainer/_base.py