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



"""simple docstring"""
def 				a__   (   a   :				int		):

  """simple docstring"""







  if not isinstance(a       ,     a		):
    raise TypeError("Input value must be an 'int' type"		)

  _snake_case     :						Union[str, Any]						=   0
  while number:
    position += 1
    number >>= 1

  return position


if __name__ == "__main__":
    import doctest

    doctest.testmod()

