"""simple docstring"""





import logging
import os

from .state import PartialState


class      UpperCAmelCase_	(    logging.LoggerAdapter):


      @staticmethod
      def 		_UpperCAmelCase       (   a							)       ->					Dict:
             lowercase__			:		Any       =	PartialState()
             return not main_process_only or (main_process_only and state.is_main_process)


      def 		_UpperCAmelCase       (   self		,			a		,			a		,			*a		,			**a							)       ->					Union[str, Any]:
             if PartialState._shared_state == {}:
                    raise RuntimeError(
                        'You must initialize the accelerate state by calling either `PartialState()` or `Accelerator()` before using the logging utility.'							)
             lowercase__			:		str       =	kwargs.pop('main_process_only'		,			a							)
             lowercase__			:		Optional[int]       =	kwargs.pop('in_order'		,			a							)

             if self.isEnabledFor(a							):
                    if self._should_log(a							):
                           lowercase__    ,      lowercase__			:		int       =	self.process(a		,			a							)
                           self.logger.log(a		,			a		,			*a		,			**a							)

                    elif in_order:
                           lowercase__			:		Dict       =	PartialState()
                           for i in range(state.num_processes							):
                                  if i == state.process_index:
                                         lowercase__    ,      lowercase__			:		Optional[Any]       =	self.process(a		,			a							)
                                         self.logger.log(a		,			a		,			*a		,			**a							)
                                  state.wait_for_everyone()





def 				a_     (      _lowerCAmelCase  : str   , _lowerCAmelCase  : str = None     ):





       '''simple docstring'''

       if log_level is None:
              lowercase__			:		Optional[Any]       =	os.environ.get('ACCELERATE_LOG_LEVEL'   , _lowerCAmelCase     )
       lowercase__			:		List[Any]       =	logging.getLogger(_lowerCAmelCase     )
       if log_level is not None:
              logger.setLevel(log_level.upper()     )
              logger.root.setLevel(log_level.upper()     )
       return MultiProcessAdapter(_lowerCAmelCase   , {}     )





"""simple docstring"""


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

from seqaseq_trainer import arg_to_scheduler

from transformers import TrainingArguments


A     :   Dict			    =			logging.getLogger(__name__)
@dataclass
class   _UpperCamelCase  (   lowerCAmelCase__		):
							'''simple docstring'''







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




