



"""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 				lowercase__       (   SCREAMING_SNAKE_CASE				):







       '''simple docstring'''


       UpperCamelCase						=					field(default=SCREAMING_SNAKE_CASE    , metadata={'''help''': '''Whether to use SortishSampler or not.'''}				)
       UpperCamelCase						=					field(
           default=SCREAMING_SNAKE_CASE    , metadata={'''help''': '''Whether to use generate to calculate generative metrics (ROUGE, BLEU).'''}				)
       UpperCamelCase						=					field(
           default=SCREAMING_SNAKE_CASE    , 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						=					field(
           default=SCREAMING_SNAKE_CASE    , 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						=					field(
           default=SCREAMING_SNAKE_CASE    , metadata={
               '''help''': '''Model id, file path or url pointing to a GenerationConfig json file, to use during prediction.'''
           }    , )



       def 					lowercase__    (							self      :  int   )			->						Any:


             '''simple docstring'''




             UpperCAmelCase_      			=							super().to_dict()
             for k, v in d.items():
                   if isinstance(_UpperCAmelCase		,    _UpperCAmelCase   ):
                         UpperCAmelCase_      			=							v.to_dict()
             return d









"""simple docstring"""





from .configuration_bert_masked import MaskedBertConfig
from .modeling_bert_masked import (
    MaskedBertForMultipleChoice,
    MaskedBertForQuestionAnswering,
    MaskedBertForSequenceClassification,
    MaskedBertForTokenClassification,
    MaskedBertModel,
)
from .modules import *




