





"""simple docstring"""





import logging
from dataclasses import dataclass, field
from pathlib import Path
from typing import Optional, Union

from .generation.configuration_utils import GenerationConfig
from .training_args import TrainingArguments
from .utils import add_start_docstrings


__snake_case				:Dict				   =       logging.getLogger(__name__)




@dataclass
@add_start_docstrings(TrainingArguments.__doc__ )
class 							snake_case							(			__UpperCAmelCase ):

      '''simple docstring'''



      _A     :       bool         =       field(default=__UpperCAmelCase      ,  metadata={'help': 'Whether to use SortishSampler or not.'} )
      _A     :       bool         =       field(
          default=__UpperCAmelCase      ,  metadata={'help': 'Whether to use generate to calculate generative metrics (ROUGE, BLEU).'} )
      _A     :       Optional[int]         =       field(
          default=__UpperCAmelCase      ,  metadata={
              'help': (
                  'The `max_length` to use on each evaluation loop when `predict_with_generate=True`. Will default '
                  'to the `max_length` value of the model configuration.'
              )
          }      ,  )
      _A     :       Optional[int]         =       field(
          default=__UpperCAmelCase      ,  metadata={
              'help': (
                  'The `num_beams` to use on each evaluation loop when `predict_with_generate=True`. Will default '
                  'to the `num_beams` value of the model configuration.'
              )
          }      ,  )
      _A     :       Optional[Union[str, Path, GenerationConfig]]         =       field(
          default=__UpperCAmelCase      ,  metadata={
              'help': 'Model id, file path or url pointing to a GenerationConfig json file, to use during prediction.'
          }      ,  )

      def       A_					(							self       :      Optional[Any] ):


        '''simple docstring'''




        __UpperCAmelCase    :						str       =						super().to_dict()
        for k, v in d.items():
          if isinstance(__lowercase						,				__lowercase ):
            __UpperCAmelCase    :						Dict       =						v.to_dict()
        return d






"""simple docstring"""





def       lowerCamelCase_       (   UpperCAmelCase_  ,			UpperCAmelCase_  )						->bool:





  """simple docstring"""


  return numa ^ numa < 0


if __name__ == "__main__":
  import doctest

  doctest.testmod()