

"""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


a		=logging.getLogger(__name__)






@dataclass
@add_start_docstrings(TrainingArguments.__doc__    )
class 	A_		(	SCREAMING_SNAKE_CASE    ):
							_UpperCAmelCase   :  List[str]										=				field(default=SCREAMING_SNAKE_CASE      ,							metadata={'''help''': '''Whether to use SortishSampler or not.'''}    )
							_UpperCAmelCase   :  Tuple										=				field(
							    default=SCREAMING_SNAKE_CASE      ,							metadata={'''help''': '''Whether to use generate to calculate generative metrics (ROUGE, BLEU).'''}    )
							_UpperCAmelCase   :  Tuple										=				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   :  int										=				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   :  List[Any]										=				field(
							    default=SCREAMING_SNAKE_CASE      ,							metadata={
							        '''help''': '''Model id, file path or url pointing to a GenerationConfig json file, to use during prediction.'''
							    }      ,							)
							def    lowerCAmelCase					(		self		:      Optional[int]):
								__lowerCamelCase    :    Any 	=			super().to_dict()
								for k, v in d.items():
									if isinstance(SCREAMING_SNAKE_CASE__       ,SCREAMING_SNAKE_CASE__):
										__lowerCamelCase    :    Tuple 	=			v.to_dict()
								return d







# This is the module that test_patching.py uses to test patch_submodule()

import os  # noqa: this is just for tests
import os as renamed_os  # noqa: this is just for tests
from os import path  # noqa: this is just for tests
from os import path as renamed_path  # noqa: this is just for tests
from os.path import join  # noqa: this is just for tests
from os.path import join as renamed_join  # noqa: this is just for tests


a		=open  # noqa: we just need to have a builtin inside this module to test it properly




