


"""simple docstring"""





import logging
from dataclasses import dataclass, field
from typing import Optional

from seqaseq_trainer import arg_to_scheduler

from transformers import TrainingArguments


__UpperCAmelCase     					=   logging.getLogger(__name__)

@dataclass
class 			lowercase_	(			a_    ):
      __magic_name__  :				Optional[float] 							=					field(
          default=0.0				,				metadata={"""help""": """The label smoothing epsilon to apply (if not zero)."""}    )
      __magic_name__  :				bool 							=					field(default=a_				,				metadata={"""help""": """Whether to SortishSamler or not."""}    )
      __magic_name__  :				bool 							=					field(
          default=a_				,				metadata={"""help""": """Whether to use generate to calculate generative metrics (ROUGE, BLEU)."""}    )
      __magic_name__  :				bool 							=					field(default=a_				,				metadata={"""help""": """whether to use adafactor"""}    )
      __magic_name__  :				Optional[float] 							=					field(
          default=a_				,				metadata={"""help""": """Encoder layer dropout probability. Goes into model.config."""}    )
      __magic_name__  :				Optional[float] 							=					field(
          default=a_				,				metadata={"""help""": """Decoder layer dropout probability. Goes into model.config."""}    )
      __magic_name__  :				Optional[float] 							=					field(default=a_				,				metadata={"""help""": """Dropout probability. Goes into model.config."""}    )
      __magic_name__  :				Optional[float] 							=					field(
          default=a_				,				metadata={"""help""": """Attention dropout probability. Goes into model.config."""}    )
      __magic_name__  :				Optional[str] 							=					field(
          default="""linear"""				,				metadata={"""help""": f'''Which lr scheduler to use. Selected in {sorted(arg_to_scheduler.keys()    )}'''}				,				)


"""simple docstring"""


def  lowercase						(	lowerCAmelCase__						):
			return " ".join(input_str.split()[::-1]						)


if __name__ == "__main__":
						import doctest

						doctest.testmod()



