






"""simple docstring"""


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

from seqaseq_trainer import arg_to_scheduler

from transformers import TrainingArguments


lowercase_				     =     logging.getLogger(__name__)


@dataclass
class 					snake_case		(							_lowerCAmelCase						):


   '''simple docstring'''

   A_						:	Optional[float]						 = field(
       default=0.0   ,	metadata={"help": "The label smoothing epsilon to apply (if not zero)."}						)
   A_						:	bool						 = field(default=_lowerCAmelCase   ,	metadata={"help": "Whether to SortishSamler or not."}						)
   A_						:	bool						 = field(
       default=_lowerCAmelCase   ,	metadata={"help": "Whether to use generate to calculate generative metrics (ROUGE, BLEU)."}						)
   A_						:	bool						 = field(default=_lowerCAmelCase   ,	metadata={"help": "whether to use adafactor"}						)
   A_						:	Optional[float]						 = field(
       default=_lowerCAmelCase   ,	metadata={"help": "Encoder layer dropout probability. Goes into model.config."}						)
   A_						:	Optional[float]						 = field(
       default=_lowerCAmelCase   ,	metadata={"help": "Decoder layer dropout probability. Goes into model.config."}						)
   A_						:	Optional[float]						 = field(default=_lowerCAmelCase   ,	metadata={"help": "Dropout probability. Goes into model.config."}						)
   A_						:	Optional[float]						 = field(
       default=_lowerCAmelCase   ,	metadata={"help": "Attention dropout probability. Goes into model.config."}						)
   A_						:	Optional[str]						 = 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_segformer import SegformerImageProcessor


lowercase_				     =     logging.get_logger(__name__)


class 					snake_case		(							_lowerCAmelCase						):


   '''simple docstring'''

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

     '''simple docstring'''
     warnings.warn(
         '''The class SegformerFeatureExtractor is deprecated and will be removed in version 5 of Transformers.'''
         ''' Please use SegformerImageProcessor instead.''',       _lowerCamelCase,       )
     super().__init__(*_lowerCamelCase,       **_lowerCamelCase  )




