"""simple docstring"""






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

from seqaseq_trainer import arg_to_scheduler

from transformers import TrainingArguments


lowerCAmelCase__						:						Dict		  =			logging.getLogger(__name__)
@dataclass
class        snake_case (				__UpperCAmelCase       ):




					"""simple docstring"""

					snake_case__       					=				field(
					    default=0.0   ,					metadata={"help": "The label smoothing epsilon to apply (if not zero)."}       )
					snake_case__       					=				field(default=__UpperCAmelCase   ,					metadata={"help": "Whether to SortishSamler or not."}       )
					snake_case__       					=				field(
					    default=__UpperCAmelCase   ,					metadata={"help": "Whether to use generate to calculate generative metrics (ROUGE, BLEU)."}       )
					snake_case__       					=				field(default=__UpperCAmelCase   ,					metadata={"help": "whether to use adafactor"}       )
					snake_case__       					=				field(
					    default=__UpperCAmelCase   ,					metadata={"help": "Encoder layer dropout probability. Goes into model.config."}       )
					snake_case__       					=				field(
					    default=__UpperCAmelCase   ,					metadata={"help": "Decoder layer dropout probability. Goes into model.config."}       )
					snake_case__       					=				field(default=__UpperCAmelCase   ,					metadata={"help": "Dropout probability. Goes into model.config."}       )
					snake_case__       					=				field(
					    default=__UpperCAmelCase   ,					metadata={"help": "Attention dropout probability. Goes into model.config."}       )
					snake_case__       					=				field(
					    default="linear"   ,					metadata={"help": F'Which lr scheduler to use. Selected in {sorted(arg_to_scheduler.keys()       )}'}   ,					)




"""simple docstring"""






def 						a_		(      lowerCamelCase      ,    lowerCamelCase ):
				return x if y == 0 else greatest_common_divisor(lowerCamelCase      ,    x % y )



def 						a_		(      lowerCamelCase      ,    lowerCamelCase ):
				return (x * y) // greatest_common_divisor(lowerCamelCase      ,    lowerCamelCase )



def 						a_		(      lowerCamelCase = 2_0 ):
				UpperCAmelCase__    =							1
				for i in range(1      ,    n + 1 ):
								UpperCAmelCase__    =							lcm(lowerCamelCase      ,    lowerCamelCase )
				return g


if __name__ == "__main__":
						print(F"""{solution() = }""")



