



'''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	 =       logging.getLogger(__name__)





@dataclass
class _UpperCamelCase		(     A		):





				'''simple docstring'''





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








'''simple docstring'''



import warnings

from ...utils import logging
from .image_processing_deit import DeiTImageProcessor


lowerCamelCase	 =       logging.get_logger(__name__)





class _UpperCamelCase		(     A		):





				'''simple docstring'''





				def __init__(							self  :  Optional[int]  ,       *_lowerCAmelCase  :  Union[str, Any]  ,       **_lowerCAmelCase  :  Union[str, Any]):







											'''simple docstring'''

											warnings.warn(
											    'The class DeiTFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'
											    ' use DeiTImageProcessor instead.'  ,       _lowerCAmelCase  ,       )
											super().__init__(*_lowerCAmelCase  ,       **_lowerCAmelCase)



