
'''simple docstring'''







import logging
from dataclasses import dataclass, field
from pathlib import Path
from typing import Optional, Union

from .generation.configuration_utils import GenerationConfig
from .training_args import TrainingArguments
from .utils import add_start_docstrings


__lowerCAmelCase         =    logging.getLogger(__name__)







@dataclass
@add_start_docstrings(TrainingArguments.__doc__	)
class UpperCAmelCase__	( lowercase__	):





  """simple docstring"""

  __UpperCAmelCase				:				bool   =					field(default=lowercase__    ,				metadata={'''help''': '''Whether to use SortishSampler or not.'''}	)
  __UpperCAmelCase				:				bool   =					field(
      default=lowercase__    ,				metadata={'''help''': '''Whether to use generate to calculate generative metrics (ROUGE, BLEU).'''}	)
  __UpperCAmelCase				:				Optional[int]   =					field(
      default=lowercase__    ,				metadata={
          '''help''': (
              '''The `max_length` to use on each evaluation loop when `predict_with_generate=True`. Will default '''
              '''to the `max_length` value of the model configuration.'''
          )
      }    ,				)
  __UpperCAmelCase				:				Optional[int]   =					field(
      default=lowercase__    ,				metadata={
          '''help''': (
              '''The `num_beams` to use on each evaluation loop when `predict_with_generate=True`. Will default '''
              '''to the `num_beams` value of the model configuration.'''
          )
      }    ,				)
  __UpperCAmelCase				:				Optional[Union[str, Path, GenerationConfig]]   =					field(
      default=lowercase__    ,				metadata={
          '''help''': '''Model id, file path or url pointing to a GenerationConfig json file, to use during prediction.'''
      }    ,				)


  def   __lowercase		(		self      :     str       ):


     '''simple docstring'''






     _a				:	Optional[int]			=   super().to_dict()
     for k, v in d.items():
        if isinstance(_a							,_a       ):
           _a				:	Tuple			=   v.to_dict()
     return d





'''simple docstring'''







from __future__ import annotations

from collections.abc import Iterator
from typing import Generic, TypeVar

__lowerCAmelCase         =    TypeVar("""T""")







class UpperCAmelCase__	( Generic[T]	):





  """simple docstring"""

  def __init__(		self      :     Tuple							,_a      :     T       ):


     '''simple docstring'''






     _a				:	List[str]			=   data
     _a				:	Node[T] | None			=   None


  def __str__(		self      :     Dict       ):


     '''simple docstring'''






     return F"""{self.data}"""







class UpperCAmelCase__	( Generic[T]	):





  """simple docstring"""

  def __init__(		self      :     Optional[int]       ):


     '''simple docstring'''






     _a				:	Node[T] | None			=   None


  def __iter__(		self      :     str       ):


     '''simple docstring'''






     _a				:	Tuple			=   self.top
     while node:
        yield node.data
        _a				:	int			=   node.next


  def __str__(		self      :     str       ):


     '''simple docstring'''






     return "->".join([str(_a       ) for item in self]       )


  def __len__(		self      :     Optional[Any]       ):


     '''simple docstring'''






     return len(tuple(iter(self       )       )       )


  def   __lowercase		(		self      :     str       ):


     '''simple docstring'''






     return self.top is None


  def   __lowercase		(		self      :     List[Any]							,_a      :     T       ):


     '''simple docstring'''






     _a				:	int			=   Node(_a       )
     if not self.is_empty():
        _a				:	Optional[Any]			=   self.top
     _a				:	List[str]			=   node


  def   __lowercase		(		self      :     Tuple       ):


     '''simple docstring'''






     if self.is_empty():
        raise IndexError('pop from empty stack'       )
     assert isinstance(self.top							,_a       )
     _a				:	List[Any]			=   self.top
     _a				:	int			=   self.top.next
     return pop_node.data


  def   __lowercase		(		self      :     List[str]       ):


     '''simple docstring'''






     if self.is_empty():
        raise IndexError('peek from empty stack'       )

     assert self.top is not None
     return self.top.data


  def   __lowercase		(		self      :     List[str]       ):


     '''simple docstring'''






     _a				:	Optional[int]			=   None


if __name__ == "__main__":
  from doctest import testmod

  testmod()



